#startup accelerator

[shankyjain]

Marwari Catalysts- India's fastest Growing Accelerator

[midasncs]

Comprehensive guide to business courses for Startup entrepreneurs

Understanding the essentials of business plays a key role in achieving enduring entrepreneurial success. For those who dream of starting a startup or growing an existing business, the appropriate education can be quite impactful. Today, online business classes, including a course on startup, tailored to their particular needs, are available to entrepreneurs. These courses furnish essential knowledge on different parts of running a business, including operational strategies, financial management, and marketing. The ease of use associated with online learning platforms allows individuals to gather key knowledge and still attend to other responsibilities, making it an ideal selection for entrepreneurs who appreciate flexibility.

1. Importance of business management for Startups

To effectively manage the challenges presented, entrepreneurs must find a comprehensive business management for startup course useful. A complete business management strategy manages every aspect of planning, organizing, leading, and tracking the enforcement of daily tasks. Business founders are capable of shaping their skills for wisely allocating restricted resources, overseeing plausible risks, and intelligently making strategic choices that encourage development. What marks the success of a startup over others can be the capacity to build a sustainable business model, establish leadership traits, and develop a robust organizational structure in a challenging market condition.

2. Course on Startup: Laying the foundation

Complete instruction on startups intends to furnish entrepreneurs with the necessary basic knowledge to successfully initiate and grow their businesses. Traditionally, these programs cover topics that range from concept generation through market investigation, product creation, and applicable legal considerations. Entrepreneurs will also find out that developing a comprehensive business plan is essential for pursuing funds and overseeing their business. In addition, these courses usually present an angle on the entrepreneurial mindset, which helps students develop the creative thinking, resilience, and deliberate risk-taking skills important for dealing with the dynamic challenges of the startup environment.

3. How Startups should Approach financial management

Startup businesses heavily depend on effective financial management for their success. To keep their business viable for the long haul, entrepreneurs must learn to manage cash flow skillfully, develop precise budgets, and become familiar with crucial financial statements. A variety of online entrepreneur courses provide detailed coverage of accounting fundamentals, alternatives for funding, and strategies for investment. These courses equip entrepreneurs with effective resources to track expenses, properly allocate resources, and make knowledgeable financial judgments. A firm understanding of financial management allows startup founders to circumvent typical financial challenges and focus on sustainable business growth while preserving their financial health and stability.

4. Methods of marketing in online training for entrepreneurs

Every successful business requires marketing, and this applies to startups too. In current times, entrepreneurs need to develop their skills to connect with their target audience through a blend of conventional and online marketing platforms. Online business courses for entrepreneurs, frequently include thorough marketing sections that address a variety of subjects, including branding, social media, content marketing, and search engine optimization (SEO). These programs allow entrepreneurs to cultivate marketing methods that match their business aims and intensify their undertakings. Startups must understand the intricacies of crafting a compelling brand story and building a solid web presence to attract customers and differentiate themselves in a heavily populated marketplace.

5. Scaling your business with a course on Startup

Once a startup manages to lay its groundwork successfully, the subsequent important challenge is to grow that business. An advanced course in startup that concentrates on growth strategies gives entrepreneurs the tools and information to grow operations, enter into new markets, and heighten revenue. Effective business scaling needs a structured approach and steady execution, and entrepreneurs have to figure out how to oversee this growth while not lowering the quality of their products or services. Courses of this kind may feature major themes including customer acquisition strategies, guiding a developing team, and improving business processes. Entrepreneurs can successfully scale their startups while preserving stability and ensuring lasting success and growth if they have the necessary skills.

6. Leadership development in business management for Startups

Leadership represents a critical skill for any entrepreneur, especially for startup founders. Courses on startup business management frequently point out that strong leadership is crucial in leading a team to accomplish the company’s vision and desired outcomes. For success, business owners need to know how to support their employees, develop a strong company atmosphere, and demonstrate leadership in trying times. Entrepreneurs can benefit from courses in leadership development by refining their communication style, optimizing their decision-making, and improving their emotional intelligence. Through refining their leadership expertise, startup founders can support their teams, mould a productive and fulfilling workplace, and advance their companies most effectively during unpredictable or rapidly evolving situations.

7. Navigating legal and regulatory frameworks with business courses for Startups

Understanding the legal and regulatory framework is an important aspect for those launching a startup. Business courses typically address basic legal topics, such as intellectual property protection, the observance of local and international regulations, and contract agreements. Entrepreneurs who enroll in these programs gain insight into vital legal matters such as business incorporation, tax regulations, and employee rights. Gaining a deep understanding of the legal aspects allows startup founders to evade expensive pitfalls, defend their ideas, and confirm that their business works within the parameters of the law. 

8. The role of technology in online business courses for Entrepreneurs

Technology plays an ever more important part in current business management, and entrepreneurs often find that courses available online underline the importance of using technological tools for improving efficiency and growth. Those in entrepreneurship learn how to embed digital tools for project management, customer relationship management (CRM), financial monitoring, along data analytics into their business processes. Besides, a lot of courses discuss the fundamentals of e-commerce, website development, and online advertising—essential competencies for startups wanting to build a strong online presence. Knowing how to make use of technology allows entrepreneurs to simplify their operations, minimize operational expenditures, and thrive in an unceasingly changing digital marketplace.

An entrepreneur launching a startup must understand that education plays a vital role in achieving lasting success. A combination of a startup course and online business training for entrepreneurs offers an extensive grasp of the key components needed to successfully manage the challenges of entrepreneurship. These courses help entrepreneurs succeed by providing knowledge on business management for startup, financial strategies, marketing techniques, leadership development, and technology. In a marketplace characterized by intense competition, continually educating oneself through these courses is a wise investment that may support lasting business success. Entrepreneurs can maintain a competitive edge in a continually changing market by committing to continual education and development of their skills.

[area23labs0]

startup accelerator | Area23labs.com

Unlock your startup's potential with Area23 Labs in the United States. Explore our entrepreneurial cohort program, pitchathon, hackathon, and AI-focused AIMAX Summit

[leotechnosblog]

Know how can any startup business must grow.

[essential-randomness]

Twitter: here's resources for founders in silicon valley who might need support with their companies

me, looking down the list, the dread rising with each pic of people having "business fun":

[hailthedragonmaster]

who wants 2 see a fucked up car bushing

ofc you do. check this out

it's ripped 3/4 of the way. i can bend it with my hand and i don't have insane grip strength. the other side is exactly the same but i won't be able to get that for at least another week

the tie rod end on one side is also fuuuucked. that thang is ripping too. wack.

[startupstohelpyougrow]

In a world where opportunity often gravitates toward urban skylines, Marwari Catalysts emerges as a transformative force—India’s first and fastest-growing startup accelerator rooted deeply in the untapped brilliance of Tier II and Tier III cities. Founded with a vision to democratize access to entrepreneurial success, Marwari Catalysts is more than an accelerator; it is a movement, a mindset, and a meticulously crafted ecosystem for dreamers who dare to build boldly beyond conventional borders.

At its core lies a powerful belief: innovation knows no postal code. Whether you're an idea-stage founder in Jodhpur or a growth-stage entrepreneur in Indore, Marwari Catalysts brings world-class mentorship, strategic guidance, and investor access right to your doorstep. With a thriving community of seasoned mentors, industry stalwarts, and global partners, we bridge the gap between ambition and execution—turning potential into impact.

Our programs are designed not only to fast-track startups but to reshape narratives—challenging the outdated notion that greatness can only be born in big cities. We’re proud to nurture a new generation of resilient, resourceful, and visionary founders who are rewriting the rules of entrepreneurship from the grassroots up.

🌍 From local roots to global reach, Marwari Catalysts is where real India builds the future.

[janeemmanuel]

Youth Power Start Up in Africa Program 2025 | Renewable Energy

⚡ wAtt-boost – Youth Power Start Up in Africa Program 2025 €20,000 Monetary Prizes | Call for Applications Organizers: RES4Africa Foundation, Strathmore University, Enel Foundation Program Focus: Renewable Energy Startups & Entrepreneurs in Africa 🌍 About the Program The inaugural wAtt-boost – Youth Power Start Up in Africa program is now open for applications! This initiative aims to nurture and…

[ideavalidationprototyping]

Refine, Test, and Validate Your Business Idea With ProtoBoost

In today’s fast-paced startup environment, having a groundbreaking idea is just the beginning. To build a successful product or venture, it’s essential to refine, test, and validate your business idea before you commit valuable time and resources. This is where ProtoBoost steps in — an intelligent platform that empowers entrepreneurs through AI-driven prototyping, AI idea validation, and real-world feedback collection.

Whether you’re launching your first startup or developing a new product within an existing company, understanding the startup idea validation process is the key to reducing risk, maximizing ROI, and delivering something the market truly wants.

Why Business Idea Validation Matters

The startup graveyard is filled with brilliant ideas that failed to validate real customer needs. Many founders skip validation in their excitement to build, often ending up with a product nobody wants or understands. This mistake is avoidable — and that’s exactly the problem ProtoBoost is solving.

Business idea validation is the systematic process of proving that your product or service idea has a market fit. It includes analyzing the target audience, identifying customer pain points, testing demand, and refining your concept based on feedback.

By integrating AI-driven tools into this process, ProtoBoost is changing the way startups approach early-stage product development.

What is ProtoBoost?

ProtoBoost is an AI-powered platform designed to help entrepreneurs, product teams, and innovators validate their startup ideas quickly and intelligently. It takes you through the complete validation journey — from refining your core concept to testing with real users — using AI-driven prototyping and automated research capabilities.

The platform automates tedious market research, builds basic MVPs, generates user personas, suggests feature priorities, and offers strategic insights — all tailored to your idea.

🧠 Watch the ProtoBoost Overview Video to Learn More: 📺 ProtoBoost Overview — YouTube

Core Features of ProtoBoost

1. AI-Driven Prototyping

One of ProtoBoost’s standout features is its AI-driven prototyping engine. With just a brief description of your idea, the platform can generate wireframes, user flows, and suggested MVP structures that you can test with your target market.

This enables you to:

Visualize your concept before development

Get early feedback on functionality and usability

Speed up design iteration without hiring a full dev team

2. AI Idea Validation Engine

The AI idea validation module analyzes your idea across multiple dimensions — including market size, competition, differentiation, and user need. You’ll get a detailed validation score with recommendations on how to strengthen weak areas.

This allows you to:

Identify blind spots in your strategy

Prioritize features and messages that matter most to users

Validate before spending months building the wrong thing

3. Target Audience Mapping

ProtoBoost doesn’t just validate your idea — it helps you find your ideal users. It generates data-backed user personas and segments your audience by pain points, motivations, and behavior patterns. This leads to better targeting and more relevant messaging when you go to market.

4. Competitive Analysis

Understanding your competition is vital to positioning your startup. ProtoBoost runs automated competitor scans to show where your idea stands in the market. You’ll see gaps you can fill, features to differentiate, and examples of successful business models to learn from.

5. Actionable Roadmaps

At the end of the validation journey, ProtoBoost delivers a strategic roadmap — from MVP development to go-to-market — tailored to your validated idea. This ensures you move forward with confidence and direction.

How ProtoBoost Streamlines Startup Idea Validation

The traditional startup idea validation process can be time-consuming and manual — requiring multiple tools and lots of guesswork. ProtoBoost simplifies and accelerates this process using AI, offering a single, integrated platform for:

Ideation refinement

MVP visualization

Market research

User persona creation

Competitive analysis

Feature prioritization

Feedback collection

Instead of spending weeks (or months) running surveys, building landing pages, or hiring freelancers for research, ProtoBoost gives you insights in minutes — so you can make smart, data-driven decisions faster.

ProtoBoost in Action: Example Workflow

Let’s say you have an idea for a subscription-based meal planning app for busy professionals. Here’s how ProtoBoost can guide your validation process:

Idea Input: You describe your concept in a few sentences.

AI Assessment: The platform analyzes market trends, similar products, and user demand using its AI idea validation engine.

User Personas: ProtoBoost generates target audience profiles like “Time-Starved Corporate Workers” and “Health-Conscious Millennials.”

AI-Driven Prototype: You receive an auto-generated wireframe for your app with suggested features (e.g., calendar integration, AI meal suggestions).

Competitor Snapshot: The system shows how your idea compares with existing services like HelloFresh or Mealime.

Validation Score: Your idea receives a score with strengths (e.g., high demand, low competition in specific niches) and improvement tips.

Action Plan: ProtoBoost provides next steps — including prototype testing, landing page launch, or pitch deck creation.

Within a day, you’ve gone from raw idea to a refined concept with validation-backed strategy.

Benefits of Using ProtoBoost for Idea Validation

✅ Speed: Rapid feedback and prototyping powered by AI ✅ Clarity: Clear scoring and suggestions for better decision-making ✅ Efficiency: All-in-one tool replaces multiple disconnected services ✅ Affordability: Less expensive than hiring consultants or UX teams ✅ Confidence: Know your idea has real demand before development begins

ProtoBoost vs. Traditional Validation Methods

Who Should Use ProtoBoost?

Aspiring Entrepreneurs: Looking to validate new business concepts.

Startup Founders: In need of rapid iteration before pitching investors.

Product Managers: Exploring new features or markets.

Innovation Teams: Within enterprises experimenting with internal startups.

Educators & Incubators: Helping students or early-stage founders build smarter.

Read More: Refine, Test, and Validate Your Business Idea With ProtoBoost

[aiprotoboost]

How ProtoBoost Uses AI to Save Time and Cut Costs in Product Design

In today's fast-paced startup ecosystem, transforming an idea into a viable product swiftly and cost-effectively is paramount. ProtoBoost.ai emerges as a game-changer, leveraging artificial intelligence to revolutionize the prototyping and validation process for startups and innovators.

The Challenge of Traditional Product Design

Traditional product development often involves extensive time, resources, and financial investment. Founders typically engage in lengthy cycles of wireframing, design iterations, and market research, which can be both time-consuming and costly. Moreover, without concrete validation, there's a significant risk of building products that don't align with market needs.

Watch ProtoBoost in Action

For a visual overview of ProtoBoost's capabilities, check out the following video:

Introducing ProtoBoost: AI-Driven Prototyping

ProtoBoost.ai addresses these challenges by offering an AI-powered platform that transforms raw ideas into high-fidelity prototypes and actionable business plans within minutes. By automating the prototyping process, ProtoBoost enables entrepreneurs to visualize their concepts quickly, gather user feedback, and iterate efficiently.

Key Features of ProtoBoost

1. Rapid AI Prototyping

With ProtoBoost, users can input a simple description of their business idea, and the platform's AI generates an interactive prototype almost instantly. This rapid prototyping capability allows for immediate visualization, facilitating quicker decision-making and stakeholder communication.

2. Integrated Business Planning

Beyond prototyping, ProtoBoost provides comprehensive business planning tools. The AI analyzes the proposed idea, offering insights into market demand, user personas, and monetization strategies. This holistic approach ensures that startups not only build products but also develop viable business models.

3. AI-Powered Idea Validation

ProtoBoost's AI doesn't stop at prototyping; it also validates ideas by simulating user interactions and analyzing engagement metrics. This feature helps founders assess the feasibility of their concepts before investing heavily in development.

4. Collaborative Customization

The platform supports collaborative workflows, allowing teams to customize prototypes, share feedback, and refine designs collectively. This fosters a more inclusive and iterative development process.

Real-World Impact: A Case Study

Consider Alex, a solo founder with an idea for a gamified savings app targeting Gen Z users. Without any coding skills, Alex uses ProtoBoost to:

Describe the app concept in natural language.

Generate a user-friendly prototype featuring reward systems and budgeting tools.

Receive a validation report highlighting market demand and user personas.

Iterate based on feedback, enhancing the app's features and user experience.

Within 24 hours, Alex has a validated MVP ready to present to investors, significantly reducing time and development costs.

Benefits of Using ProtoBoost

Speed: Accelerate the journey from idea to prototype, enabling faster market entry.

Cost-Efficiency: Reduce expenses associated with traditional design and development processes.

Data-Driven Decisions: Leverage AI insights to make informed choices about product features and market strategies.

Enhanced Collaboration: Facilitate teamwork through shared prototypes and collective feedback mechanisms.

Who Can Benefit from ProtoBoost?

Startup Founders: Validate ideas before seeking funding or entering the market.

Product Managers: Test new features and concepts without extensive development resources.

Innovation Teams: Explore and refine internal tools or services efficiently.

Students and Creators: Bring ideas to life without the need for coding expertise.

Conclusion

ProtoBoost.ai stands at the forefront of AI-driven product development, offering a comprehensive solution for rapid prototyping and business idea validation. By streamlining the design process and providing actionable insights, ProtoBoost empowers innovators to bring their visions to life swiftly and cost-effectively.

Let’s Build the Future Together

Ready to bring your next big idea to life with the power of AI? ProtoBoost is here to help every step of the way—from validation to prototyping to refinement.

📞 Contact us at: 415-200-2599

📲 Follow us on social media for updates, insights, and success stories:

LinkedIn

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[shankyjain]

The Role of Mentorship in Startup Success: Insights from Startup Accelerators

Behind every successful startup is more than just a big idea — it's the guidance of the right mentors.

Startup accelerators recognize that mentorship is critical for helping early-stage founders make smarter decisions, build stronger strategies and avoid common pitfalls. Especially for entrepreneurs beyond major tech hubs, mentorship provides the clarity and connections needed to scale faster.

Why mentorship matters:

🔹 Real-World Insights: Mentors help startups learn from experience, not just trial and error. 🔹 Strategic Growth: Good mentorship sharpens vision, product strategy and market fit. 🔹 Network Expansion: Mentors open doors to investors, partners and new opportunities. 🔹 Emotional Resilience: Mentors offer encouragement during the inevitable ups and downs.

Accelerators that prioritize mentorship aren’t just backing ideas — they’re building future leaders.

Final Thought: While funding fuels startups, mentorship truly powers their journey to success.

🔗 Learn how mentorship-driven accelerators are shaping the next generation of entrepreneurs.

[bdigit24]

Explore how 50 Partners, a leading French startup accelerator, leverages the expertise of 50 successful entrepreneurs to provide lifelong mentorship, investment, and a powerful network for the next generation of tech, health, and impact startups.

[area23labs0]

https://area23labs.com/

startup accelerator | Area23labs.com

Unlock your startup's potential with Area23 Labs in the United States. Explore our entrepreneurial cohort program, pitchathon, hackathon, and AI-focused AIMAX Summit

startup accelerator

[leotechnosblog]

Sales Strategies & Growth Frameworks For Startups

Innovate, Elevate, Accelerate : Join LTS accelerator and let's embark on a journey to reshape industries and redefine startup success! join webinar: https://t.ly/uG-5B

You tube: https://t.ly/WM6kL

[bizzcart]

Top Incubators and Accelerators for Health and Biotech Startups in North America

For entrepreneurs in health, biotech, and life sciences, having a game-changing idea is only the beginning. Bringing that innovation to market requires funding, mentorship, clinical access, regulatory know-how, and strategic partnerships—resources that are often out of reach for early-stage startups. This is where incubators and accelerators play a critical role. North America is home to some of…

[medchemexpressinhibitor-blog]

AI Deep Learning Accelerates Drug Development

Deep learning is a subset of artificial intelligence (AI) that mimics the neural networks of the human brain to learn from large amounts of data, enabling machines to solve complex problems. Deep learning technology has made significant progress in the biomedical field. Researchers have developed a series of application based on deep learning for disease diagnosis, protein design, and medical image recognition. The pharmaceutical industry is also beginning to recognize the importance of deep learning technology, hoping to leverage it to accelerate drug development and reduce costs.

1. Application of Deep Learning in Drug Development

Previous studies have demonstrated that deep learning technology offers significant advantages in several key areas of drug development, including optimization of chemical synthesis routes, ADME-Tox prediction, target identification and validation and generation of novel molecules.

Figure 1. A broad overview of drug development and the place of virtual screening in this process[1].

1.1 Virtual Screening: Protein-Ligand Affinity

Deep learning can learn and identify potential binding patterns by comparing known protein-small molecule binding instances. During the training process, the deep learning models continuously optimize their parameters to enhance the accuracy and reliability of their predictions.

Yelena Guttman et al. developed a CYP3A4 inhibitor prediction model based on DeepChem framework. They created a KNIME workflow for data curation and employed the DeepChem module in Maestro to build a categorical classifier. This classifier was then used to virtually screen approximately 68,900 compounds from the FooDB database, leading to the successful identification of two new CYP3A4 inhibitors[2].

Figure 2. Prediction of CYP3A4 Inhibitors Based on DeepChem[2].

A workflow in KNIME analytics platform 4.0.314 was created to prepare and analyze the virtual screening.

1.2 ADME-Tox Prediction

Poor pharmacokinetic properties as well as toxicity issues are considered the main reasons for terminating the development process for drug candidates. Thus, there is an increasing need for robust screening methods to provide early information on absorption, distribution, metabolism, excretion, and toxicity (ADME-Tox) properties of compounds. Many studies have shown by leveraging these extensive ADME datasets, deep learning models can automatically identify and extract complex relationships between compound features and their corresponding ADMET properties. These trained models can then be used to predict the ADME properties of new compounds, thereby accelerating the process of drug discovery and development.

Liu et al. utilized directed message passing neural networks (D-MPNN, Chemprop) to predict the Nrf2 dietary-derived agonists and safety of compounds in the FooDB database. They successfully identified Nicotiflorin, a drug that exhibits both agonistic activity of Nrf2 and safety, which was validated in vitro and in vivo[3].

Figure 3. Using Deep-Learning Model D-MPNN to Assess Drug Safety[3].

1.3 Optimize Chemical Synthesis Routes

In recent years, it has been seen that artificial intelligence (AI) starts to bring revolutionary changes to chemical synthesis. However, the lack of suitable ways of representing chemical reactions and the scarceness of reaction data has limited the wider application of AI to reaction prediction. Deep learning is increasingly being applied to chemical synthesis, enabling the automatic identification and extraction of features and patterns from large datasets. This capability enhances the prediction of the efficiency and selectivity of new synthesis routes, significantly accelerating drug development and production.

Li et al. introduced a novel reaction representation, GraphRXN, for reaction prediction. G

Figure 4. A deep-learning graph framework, GraphRXN, was proposed to be capable of learning reaction features and predicting reactivity[4].

2. Drug Screening Based on Deep Learning

The application of deep learning in the field of virtual screening primarily involves using neural networks to predict the activity or properties of compounds, thereby identifying potential candidate drugs or materials in a virtual environment. Commonly used deep learning models include Convolutional Neural Networks (CNN), Graph Neural Networks (GNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (GAN) and Transformer models.

��� CNNs excel at identifying patterns and features in structured data, such as chemical structures represented as images or graphs. Recent studies have demonstrated their effectiveness in predicting drug-drug interactions and assessing molecular properties by analyzing chemical substructures and other relevant features.

 GNNs are designed to work directly with graph-structured data, making them particularly suitable for representing molecular structures where atoms are nodes and bonds are edges. They have shown remarkable performance in drug discovery by capturing the complex relationships between molecules and their properties.

 RNNs are designed to handle sequential data, making them particularly effective for tasks where context from previous inputs is essential.

 GANs consist of two neural networks—a generator and a discriminator—that work against each other to create new data instances.

 Transformers have gained popularity for their ability to handle sequential data and capture long-range dependencies, making them suitable for tasks like natural language processing and time-series analysis.

In summary, deep learning is revolutionizing drug development by enhancing efficiency, accuracy, and cost-effectiveness across multiple stages of the process. As technology continues to evolve, its integration into pharmaceutical research is likely to deepen, paving the way for innovative therapeutic solutions.

Product Recommendation

Virtual Screening

MedChemExpress (MCE) provides high quality virtual screening service that enables researchers to identify most promising candidates. Based on the laws of quantum and molecular physics, our virtual screening services can achieve highly accurate results. Our optimized virtual screening protocol can reduce the size of chemical library to be screened experimentally, increase the likelihood to find innovative hits in a faster and less expensive manner, and mitigate the risk of failure in the lead optimization process.

50K Diversity Library

MCE 50K Diversity Library consists of 50,000 lead-like compounds with multiple characteristics such as calculated good solubility (-3.2 < logP < 5), oral bioavailability (RotB <= 10), drug transportability (PSA < 120). These compounds were selected by dissimilarity search with an average Tanimoto Coefficient of 0.52. There are 36,857 unique scaffolds and each scaffold 1 to 7 compounds. What’s more, compounds with the same scaffold have as many functional groups as possible, which make abundant chemical spaces.

MegaUni 10M Virtual Diversity Library

With MCE's 40,662 BBs, covering around 273 reaction types, more than 40 million molecules were generated. Compounds which comply with Ro5 criteria were selected. Inappropriate chemical structures, such as PAINS motifs and synthetically difficult accessible, were removed. Based on Morgan Fingerprint, molecular clustering analysis was carried out, and molecules close to each clustering center were extracted to form this drug-like and synthesizable diversity library. These selected molecules have 805,822 unique Bemis-Murcko Scaffolds (BMS) with diversified chemical space. This library is highly recommended for AI-based lead discovery, ultra-large virtual screening and novel lead discovery.

MegaUni 50K Virtual Diversity Library

MegaUni 50K Virtual Diversity Library consists of 50,000 novel, synthetically accessible, lead-like compounds. With MCE's 40,662 Building Blocks, covering around 273 reaction types, more than 40 million molecules were generated. Based on Morgan Fingerprint and Tanimoto Coefficient, molecular clustering analysis was carried out, and molecules closest to each clustering center were extracted to form a drug-like and synthesizable diversity library. The selected 50,000 drug-like molecules have 46,744 unique Bemis-Murcko Scaffolds (BMS), each containing only 1-3 compounds. This diverse library is highly recommended for virtual screening and novel lead discovery.

References

[1] Rifaioglu AS, et al.Brief Bioinform. 2019 Sep ;20(5):1878-1912.

[2] Guttman Y, et al.J Agric Food Chem. 2022 Mar ;70(8):2752-2761.

[3] Liu S, et al.J Agric Food Chem. 2023 May ;71(21):8038-8049.

[4] Li B, et al.J Cheminform. 2023 Aug;15(1):72.

[5] Segler MHS, et al. Planning chemical syntheses with deep neural networks and symbolic AI. Nature. 2018 Mar ;555(7698):604-610.