Virtual Screening Explanation - Lab 1
Explore virtual screening techniques for drug discovery with experts Lu Zhu and Cas Wognum in this recorded session from the 2024 ML for Drug Discovery Summer School.
Training Neural Network Potentials: Bayesian and Simulation-based Approaches
Explore advanced techniques for training neural network potentials in molecular dynamics simulations, including data-efficient methods, experimental data integration, and uncertainty quantification for reliable results.
Accelerating Cryptic Pocket Discovery Using AlphaFold and Markov State Modeling
Explore cryptic pocket discovery using AlphaFold and Markov State Modelling. Learn about Plasmepsin II, transition states, and activation mechanisms in drug discovery.
Cell Morphology-Guided De Novo Hit Design by Conditioning GANs on Phenotypic Image Features
Explore cell morphology-guided de novo hit design using GANs conditioned on phenotypic image features for efficient bioactive molecule development in drug discovery.
Interpretable Chirality-Aware Graph Neural Networks for QSAR Modeling in Drug Discovery
Explore an innovative Graph Neural Network approach for drug discovery, incorporating molecular chirality and offering interpretable results to enhance quantitative structure-activity relationship modeling.
Autoimmune Diseases - The Arising Opportunities for Cell Therapies
Explore the potential of CAR-T cell therapies in treating autoimmune diseases, focusing on recent advancements and future opportunities for potentially curative approaches beyond oncology.
Mastering Multiplexing: Innovative Tools for Multiplexing in Your qPCR Workflow
Explore innovative tools for multiplexing in qPCR workflows. Learn to increase sample throughput, reduce costs, and minimize variations between reactions for more efficient research and diagnostics.
Impact of Cell Background on Small Compound Target Deconvolution by CETSA Coupled to Mass Spectrometry
Explore CETSA's role in target engagement and mode of action deconvolution, focusing on cell background impact and mass spectrometry coupling for small compound analysis.
Advancing Protein Stabilization Therapeutic Development and DUBTAC Drug Discovery through Gene and Cell Engineering
Explore genetically modified cell models for drug discovery, focusing on protein stabilization and DUBTAC approaches. Learn how engineered cell lines accelerate therapeutic development and enable disease modeling.
The Experience of Development and Verification of Analytical Platforms for Cellular and Gene Therapy
Explore development and verification processes for analytical platforms in cellular and gene therapy, focusing on key challenges and innovative solutions.
Human-On-a-Chip Systems for Therapeutic Index Determination and Systemic Toxicity in Pre-Clinical Drug Discovery
Explore innovative Human-on-a-Chip systems for drug discovery, focusing on their application in therapeutic index determination and systemic toxicity assessment in pre-clinical stages.
Platform Trials: Accelerating Clinical Research in Scleroderma - 2024 Patient Forum
Explore platform trials and their impact on scleroderma research, focusing on CONQUEST, an innovative trial designed to rapidly advance promising treatments and identify agents for phase 3 trials.
Essentials of Clinical Trials - A Patient's Guide
Discover the essentials of clinical trials, including participation benefits, expectations, and processes, with expert guidance from Dr. Peter Merkel.
Scleroderma Research: Past, Present and Future
Explore scleroderma clinical trials: past successes, FDA approval process, trial design, oversight, eligibility criteria, and considerations for participation.
Scleroderma Research Progress: 25 Years of Advancements and Future Prospects - 2023 Closing Keynote
Explore 25 years of scleroderma research progress and future prospects towards finding a cure with Dr. Feghali-Bostwick's insightful keynote address.
Scleroderma Clinical Treatment Trials - Are They Right for You?
Explore Scleroderma clinical trials with Dr. Mayes: learn about finding trials, evaluating suitability, and making informed decisions for your treatment journey.
Neural Network Potentials for Low-Energy 3D Structure Generation and Reactivity Prediction
Explore neural network potentials for efficient 3D structure generation and reactivity prediction in molecular modeling, featuring Auto3D package and ANI-2xt model advancements.
Molecule Representation Learning: A Perspective from Topology, Geometry, and Textual Description
Explore molecule representation learning through topology, geometry, and textual description. Gain insights into AI-driven drug discovery and molecular modeling techniques.
ProtMD: Incorporating Conformation Flexibility for Drug Binding via Pretraining on MD Simulations
Explore ProtMD, a novel approach incorporating protein flexibility in drug binding predictions using molecular dynamics simulations and self-supervised learning techniques for improved accuracy.
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Explore DiffDock, a novel diffusion-based approach to molecular docking that outperforms traditional and deep learning methods in predicting ligand-protein binding structures for drug design.
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Explore equivariant 3D-conditional diffusion models for molecular linker design in drug discovery. Learn about DiffLinker's innovative approach to connecting multiple fragments and its applications in real-world scenarios.