Page 3 - 200+ Drug Discovery Online Courses for 2024 | Explore Free Courses & Certifications

Labroots

Advancing Protein Stabilization Therapeutic Development and DUBTAC Drug Discovery through Gene and Cell Engineering

ChemicalQDevice

Can LLMs Help Researchers Automate Individual Disease Drug Design?

ChemicalQDevice

Myriad LLM Approaches to Drug Discovery Generative Artificial Intelligence

ChemicalQDevice

Apple On-Device GenAI for Lead Optimization in Drug Discovery - MacOS and iOS

ChemicalQDevice

Drug Discovery Generative AI Using Tensor Network GPT or BERT

Toronto Machine Learning Series (TMLS)

Industrializing Machine Learning Workflows in Drug Discovery

MolSoft Molecules in Silico

Design and Development of Intracellular Paired Agent Imaging Molecules for Quantitative Assessment of Cancer Drug Target Availability

MolSoft Molecules in Silico

Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity

Valence Labs

Predicting Single-Cell Perturbation Responses for Unseen Drugs

Valence Labs

Combinatorial Perturbation Prediction Using Causally-Inspired Neural Networks

Valence Labs

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions

Valence Labs

MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling

Valence Labs

Evaluating Retrosynthesis with Syntheseus and Retro-Fallback

Valence Labs

Removing Biases from Molecular Representations via Information Maximization

Valence Labs

Structured State-Space Sequence Models for De Novo Drug Design

Drug Discovery Courses and Certifications

Advancing Protein Stabilization Therapeutic Development and DUBTAC Drug Discovery through Gene and Cell Engineering

Can LLMs Help Researchers Automate Individual Disease Drug Design?

Myriad LLM Approaches to Drug Discovery Generative Artificial Intelligence

Apple On-Device GenAI for Lead Optimization in Drug Discovery - MacOS and iOS

Drug Discovery Generative AI Using Tensor Network GPT or BERT

Industrializing Machine Learning Workflows in Drug Discovery

Design and Development of Intracellular Paired Agent Imaging Molecules for Quantitative Assessment of Cancer Drug Target Availability

Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity

Predicting Single-Cell Perturbation Responses for Unseen Drugs

Combinatorial Perturbation Prediction Using Causally-Inspired Neural Networks

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions

MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling

Evaluating Retrosynthesis with Syntheseus and Retro-Fallback

Removing Biases from Molecular Representations via Information Maximization

Structured State-Space Sequence Models for De Novo Drug Design