The Bioinformatics of Neoantigen Discovery and Vaccine Design
Explore neoantigen identification and vaccine design through bioinformatics. Learn about REAL-neo analytic framework and novel modules for tumor sequencing data analysis in immunotherapy research.
An Intelligent Data Acquisition Approach to Increase the Throughput of Multiplexed Proteome Analyses
Explore an intelligent data acquisition approach for increasing throughput in multiplexed proteome analyses, enhancing efficiency in quantitative proteomics research.
Timewarp: Transferable Acceleration of Molecular Dynamics by Time-Coarsened Dynamics
Explore Timewarp: a transferable method for accelerating molecular dynamics simulations using normalizing flows, enhancing sampling efficiency for equilibrium properties of molecular systems.
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Explore accelerated molecular dynamics simulation using Timewarp, a transferable AI method for efficient sampling of molecular systems and discovery of metastable states.
PepFlow: Direct Conformational Sampling From Peptide Energy Landscapes
Explore PepFlow, a deep learning approach for direct conformational sampling of peptides. Learn about its modular design, hypernetwork integration, and applications in drug discovery.
Benchmark and Critical Evaluation for ML Force Fields with Molecular Simulations
Explore benchmarking and critical evaluation of machine learning force fields in molecular simulations, focusing on realistic MD trajectories beyond force prediction accuracy.
Purification of Proteins and Peptides Using Self-removing Tags
Explore self-removing tags for protein and peptide purification, focusing on intein-based technologies, their applications, and optimization strategies for effective recombinant protein production.
Prediction of Multi-Class Peptides by T-Cell Receptor Sequences with Deep Learning
Explore deep learning techniques for predicting multi-class peptides using T-cell receptor sequences, enhancing immune system understanding and potential disease treatments.