Chai-1: Decoding the molecular interactions of life
We introduce Chai-1, a multi-modal foundation model for molecular structure prediction that
performs at the state-of-the-art across a variety of tasks relevant to drug discovery. Chai-1 …
performs at the state-of-the-art across a variety of tasks relevant to drug discovery. Chai-1 …
Integrative modeling meets deep learning: Recent advances in modeling protein assemblies
Recent progress in protein structure prediction based on deep learning revolutionized the
field of Structural Biology. Beyond single proteins, it also enabled high-throughput prediction …
field of Structural Biology. Beyond single proteins, it also enabled high-throughput prediction …
Review and Comparative Analysis of Methods and Advancements in Predicting Protein Complex Structure
N Zhao, T Wu, W Wang, L Zhang, X Gong - … Sciences: Computational Life …, 2024 - Springer
Protein complexes perform diverse biological functions, and obtaining their three-
dimensional structure is critical to understanding and gras** their functions. In many …
dimensional structure is critical to understanding and gras** their functions. In many …
[PDF][PDF] Challenges in predicting PROTAC-mediated Protein-Protein Interfaces with AlphaFold
AlphaFold2 (AF2) made its debut in the CASP14 competition, generating structures which
could rival experimentally determined ones and causing a paradigm shift in the structural …
could rival experimentally determined ones and causing a paradigm shift in the structural …
Transformer-Based Deep Learning Model with Latent Space Regularization for CRISPR-Cas Protein Sequence Classification
The discovery of the CRISPR-Cas system has significantly advanced genome editing,
offering vast applications in medical treatments and life sciences research. Despite their …
offering vast applications in medical treatments and life sciences research. Despite their …