A new method improves efficiency in molecular design, cutting costs and enhancing discovery.
― 5 min read
Quantitative Biology - Biomolecules
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A new model is paving the way for universal COVID-19 vaccines.
― 4 min read
A new model enhances predictions of smells based on molecular structures.
― 5 min read
DrugGPS enhances drug design by focusing on protein pocket similarities.
― 6 min read
A novel method enhances the speed and accuracy of protein complex docking.
― 6 min read
New optimization methods are reshaping protein design for better accuracy and efficiency.
― 5 min read
Discover how machine learning is transforming protein engineering and directed evolution.
― 7 min read
A dataset of 86 million molecules aids research in drug discovery and material science.
― 4 min read
D3FG model improves drug design by focusing on functional groups and linkers.
― 8 min read
Researchers develop a model to better predict protein stability changes from amino acid mutations.
― 5 min read
New approach improves prediction of macrocyclic peptide shapes for drug design.
― 6 min read
A new model improves antibody design for more effective vaccines.
― 7 min read
A novel approach uses limited data to improve predictions of protein-peptide interactions.
― 5 min read
Researchers develop a generative model to improve protein folding predictions.
― 5 min read
This study examines the relationship between protein sequences and condensate properties.
― 6 min read
Researchers innovate protein design with advanced sampling techniques for better antibodies.
― 5 min read
A new method improves the design of drug-like molecules.
― 5 min read
A new method improves 3D imaging of proteins using cryo-EM technology.
― 4 min read
ShapeLinker optimizes linker design for better drug efficacy using machine learning.
― 5 min read
A novel system simplifies molecular design using natural language processing.
― 5 min read
A new method improves efficiency in scientific research using machine learning.
― 8 min read
New methods enhance predictions of protein folding and behavior using machine learning.
― 5 min read
Researchers use machine learning to better predict protein mutations and their effects.
― 5 min read
Researchers enhance drug-target binding predictions with multimodal knowledge graphs.
― 6 min read
A new method improves predictions of how drugs interact with targets, saving time and resources.
― 6 min read
A novel approach enhances the generation of molecular conformers for drug discovery.
― 7 min read
A deep look into proteins, their structure, and significance in science.
― 5 min read
Explore how molecular dynamics simulations reveal protein behavior and interactions.
― 7 min read
TDS improves diffusion models for efficient and versatile data generation.
― 8 min read
Exploring the significance of protein folding in health and disease.
― 5 min read
Learn about the vital role of protein folding in health and disease.
― 7 min read
This article explores how protein shapes affect their roles in biology.
― 7 min read
A new method enhances protein optimization for better functions in biotechnology.
― 5 min read
Research focuses on methods to predict protein structures from amino acid sequences.
― 6 min read
An overview of protein structures and their significance in biology.
― 6 min read
Explore the vital role of protein structure in health and disease.
― 4 min read
Explore the vital roles and structures of proteins in living cells.
― 4 min read
A new method improves gene regulation analysis by accounting for fluctuations in biological systems.
― 5 min read
This research uses machine learning to improve nanobody binding predictions.
― 6 min read
RNAformer uses deep learning to improve RNA structure predictions.
― 5 min read
New methods improve accuracy and speed in identifying small molecules.
― 6 min read