
Explore computational biophysics methods for understanding mechanosensing, focusing on cutting-edge approaches and their applications in molecular biology research.

Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.

Explore Alpha Missense, an AI model predicting missense variant pathogenicity. Learn how it combines structural context and evolutionary conservation to achieve state-of-the-art results in genetic benchmarks.

Explore protein dynamics and their impact on brain function with insights from renowned expert Peter Wolynes of Rice University.

Explore intrinsically flexible proteins and their association mechanisms, and unravel functional mechanisms of intrinsically disordered proteins through energy landscape visualization.

Explore protein structure prediction using transformer models, uncovering advanced techniques for understanding and analyzing protein folding and interactions.

Explore the mechanism of KATP channels through chemical probing, focusing on structure, gating, and the role of palmitoylation in channel opening.

Explore how Molsoft Scarab contributed to COVID-19 research in the UK, presented by Oxford's Dr. Brian Marsden at MolSoft's User Group Meeting.

Explore computational approaches for designing functional proteins, including surface pattern analysis and de novo topology exploration, with applications in vaccine design, T-cell therapies, and biosensors.

Dive into protein design using deep learning with David Baker. Explore cutting-edge techniques and insights at the intersection of AI and biomedical research.

Learn advanced protein structure prediction techniques, focusing on COVID-19 protease modeling, loop refinement, and homology modeling using MODELLER software.

Explore the physics of functional networks, from sound control in mechanical systems to resilient power grids and leaf venation. Discover optimization principles and their applications in engineering and biology.

Learn to perform protein-protein docking using validated tools like ClusPro, PatchDock, and Hex. Gain hands-on experience with step-by-step demonstrations and access to relevant literature.

Explore advanced Pymol features: protein-ligand interactions, plugin installation, and protein annotations. Learn to visualize and analyze molecular structures effectively.

Learn homology modeling basics and hands-on pipeline using Modeller tool to construct atomic-resolution protein models from amino acid sequences and related homologous structures.

Explore innovative protein design using deep learning and musical representations, bridging materials science and artificial intelligence for groundbreaking bioengineering applications.

Explore AlphaFold's revolutionary impact on protein structure determination with Dame Janet Thornton. Discover how this AI program is transforming bioinformatics and its potential future applications.

Explore Carol Robinson's groundbreaking research in structural biology, focusing on protein interactions in the vapor phase and its impact on understanding human health and drug development.

Explore structural biology's role in variant assessment, focusing on biophysical methods to evaluate protein function disruption and reclassify variants of unknown significance.

Explore deep learning applications in structural biology and protein design, focusing on AlphaFold2 and emerging methods for visualizing proteins and creating novel ones for therapeutic use.

Innovative approach to recover 3D atomic structures of flexible macromolecules from cryo-EM data, combining biological knowledge with spectral analysis to estimate conformational variations.