Valence Labs Courses

Introduction to Machine Learning in Drug Discovery: Principles and Applications - Day 1

Explore machine learning principles and applications in drug discovery with expert Bharath Ramsundar, covering key concepts and innovative approaches.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Gene Regulatory Network Structure and Perturbation Effects Distribution - Simulation and Analysis

Explore gene regulatory network structure and its impact on perturbation effects. Gain insights into simulating and modeling GRNs for improved understanding of gene expression regulation.

• YouTube
• 1 hour 45 minutes
• On-Demand
• Free Video

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Explore Diffusion Forcing, a novel training paradigm combining next-token prediction and full-sequence diffusion for enhanced sequence generation and decision-making in AI applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Geometric Deep Learning for Protein Understanding

Explore geometric deep learning techniques for protein analysis and understanding, focusing on advanced computational methods in molecular biology.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Polaris - Industry-Led Initiative to Critically Assess ML for Real-World Drug Discovery

Explore an industry-led initiative critically assessing machine learning's impact on real-world drug discovery through the Polaris project.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Leveraging Molecular ML and Property Prediction in Drug Design

Explore cutting-edge molecular machine learning techniques for drug design, focusing on property prediction to enhance pharmaceutical development.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Towards Rational Drug Design with AlphaFold 3

Explore rational drug design using AlphaFold 3, uncovering its potential in revolutionizing pharmaceutical development and molecular modeling.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Efficiently Exploring Combinatorial Perturbations From High Dimensional Observation

Explore efficient methods for analyzing combinatorial perturbations in high-dimensional data, focusing on innovative approaches and practical applications.

• YouTube
• 45 minutes
• On-Demand
• Free Video

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding

Explore G-Retriever: a novel approach for textual graph understanding, enabling conversational interaction with graphs and enhancing AI applications in drug discovery and beyond.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Designing DNA with Tunable Regulatory Activity Using Discrete Diffusion

Explore DNA Discrete Diffusion (D3) for engineering regulatory DNA sequences with targeted functional activity levels. Learn about its advantages, evaluation metrics, and applications in functional genomics.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Metric Flow Matching for Smooth Interpolations on the Data Manifold

Explore Metric Flow Matching for smooth interpolations on data manifolds. Learn about conditional paths, Riemannian metrics, and geodesic interpolants. Discover applications in LiDAR navigation and cellular dynamics modeling.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Scalable Molecular Simulation of Electrolyte Solutions with Quantum Chemical Accuracy

Explore advanced molecular simulation techniques for electrolyte solutions using neural network potentials and DFT, achieving quantum chemical accuracy and revealing novel insights in solution behavior.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Approximately Piecewise E(3) Equivariant Point Networks

Explore APEN: a framework for approximate piecewise-E(3) equivariant point networks, improving generalization in part-based symmetry tasks like room scene analysis and human motion recognition.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

gRNAde: Geometric Deep Learning for 3D RNA Inverse Design

Explore gRNAde, a geometric deep learning pipeline for 3D RNA inverse design. Learn about its architecture, use cases, and advantages over traditional methods in RNA sequence design.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Contextual AI Models for Single-cell Protein Biology

Explore PINNACLE, a geometric deep learning approach generating context-aware protein representations for enhanced understanding of protein function and interactions across biological contexts.

• YouTube
• 32 minutes
• On-Demand
• Free Video