I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
[HTML][HTML] Exploring the computational methods for protein-ligand binding site prediction
J Zhao, Y Cao, L Zhang - Computational and structural biotechnology …, 2020 - Elsevier
Proteins participate in various essential processes in vivo via interactions with other
molecules. Identifying the residues participating in these interactions not only provides …
molecules. Identifying the residues participating in these interactions not only provides …
Enzyme function prediction using contrastive learning
Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …
have been developed. However, most of these tools cannot accurately predict functional …
COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information
The COFACTOR web server is a unified platform for structure-based multiple-level protein
function predictions. By structurally threading low-resolution structural models through the …
function predictions. By structurally threading low-resolution structural models through the …
I-TASSER server: new development for protein structure and function predictions
The I-TASSER server (http://zhanglab. ccmb. med. umich. edu/I-TASSER) is an online
resource for automated protein structure prediction and structure-based function annotation …
resource for automated protein structure prediction and structure-based function annotation …
[HTML][HTML] P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
Background Ligand binding site prediction from protein structure has many applications
related to elucidation of protein function and structure based drug discovery. It often …
related to elucidation of protein function and structure based drug discovery. It often …
PrankWeb: a web server for ligand binding site prediction and visualization
PrankWeb is an online resource providing an interface to P2Rank, a state-of-the-art method
for ligand binding site prediction. P2Rank is a template-free machine learning method based …
for ligand binding site prediction. P2Rank is a template-free machine learning method based …
Protein structure and function prediction using I‐TASSER
I‐TASSER is a hierarchical protocol for automated protein structure prediction and structure‐
based function annotation. Starting from the amino acid sequence of target proteins, I …
based function annotation. Starting from the amino acid sequence of target proteins, I …
Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment
Motivation: Identification of protein–ligand binding sites is critical to protein function
annotation and drug discovery. However, there is no method that could generate optimal …
annotation and drug discovery. However, there is no method that could generate optimal …
DEEPre: sequence-based enzyme EC number prediction by deep learning
Motivation Annotation of enzyme function has a broad range of applications, such as
metagenomics, industrial biotechnology, and diagnosis of enzyme deficiency-caused …
metagenomics, industrial biotechnology, and diagnosis of enzyme deficiency-caused …