Remove Bioinformatics Remove Pharmaceuticals Remove Small Molecule
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From siloed data to breakthroughs: multimodal AI in drug discovery

Drug Target Review

Multimodal language models Generative AI models (GenAI) in the pharmaceutical field have reached the highest level of attention with the Nobel Prizes to Demis Hassabis and John Jumper for AlphaFold, which can predict protein structures. Traditional drug discovery data architecture is manual, messy, proprietary and inflexible.

Drugs 64
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Unlocking the potential of natural products in drug discovery

Drug Target Review

Between 2000 and 2020, approximately 30 percent of the newly introduced small molecule drugs were derived from natural products. In short, this hypothesis underscores the potential benefits of aligning pharmaceutical development more closely with nature. References Newman DJ, Cragg GM.

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AI in Drug Discovery - A Highly Opinionated Literature Review (Part II)

Practical Cheminformatics

While large pharmaceutical companies have data on thousands or even millions of compounds, this data is rarely shared due to intellectual property concerns. Data from 21 million molecules and more than 40,000 assays was securely combined into a multitask model. For classification models, the participants reported a median 2.5-7.5%

Drugs 136
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AI At The Frontier: Empowering Early Career Professionals In Drug Discovery

Elrig

Harini Srinivasan is a Principal Scientific Associate at Serna Bio with over 10 years of research experience in academic institutions, health care organizations and pharmaceutical companies. With a background in Bioinformatics and Computational Biology, she has a keen interest in using technology to solve problems in healthcare and medicine.

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AI-driven drug discovery: insights from Cresset

Drug Target Review

Cresset delivers software solutions and contract research expertise enabling companies around the world to accelerate their small molecule discovery processes efficiently and effectively. Customers include the pharmaceutical, biotechnology and agrochemical industries.

Drugs 64
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Lead Pharma enters into a Research Collaboration and License Agreement with Roche to Develop Oral Small Molecules for Immune Mediated Diseases

The Pharma Data

R&D collaboration building on Lead Pharma’s expertise in the discovery, design and optimization of small molecule treatments. Lead Pharma is a pharmaceutical company focusing on the discovery and development of innovative medicines for the treatment of immune diseases and cancer. About Lead Pharma.

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Early evidence and emerging trends: How AI is shaping drug discovery and clinical development

Drug Target Review

Recently Recursion Pharmaceuticals unbiased, machine learning-powered genomics screen rapidly identified and advanced REC-1245. Traditional drugs for eye diseases like glaucoma are small molecules delivered by simple eye drops. With these complexities comes a need to increase the probability of clinical success.