AI Medical Compendium Topic:
Protein Binding

Clear Filters Showing 701 to 710 of 827 articles

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification.

Briefings in bioinformatics Jul 18, 2022
In this study, we introduce an interpretable graph-based deep learning prediction model, AttentionSiteDTI, which utilizes protein binding sites along with a self-attention mechanism to address the problem of drug-target interaction prediction. Our pr...
Drug Repositioning Natural Language Processing Drug Development Proteins Protein Binding
View on PubMed DOI

GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs.

Nucleic acids research Jul 5, 2022
Proteins are essential macromolecules for the maintenance of living systems. Many of them perform their function by interacting with other molecules in regions called binding sites. The identification and characterization of these regions are of fund...
Ligands Machine Learning Proteins Binding Sites Protein Binding Protein Domains
View on PubMed DOI

Predicting protein-peptide binding residues via interpretable deep learning.

Bioinformatics (Oxford, England) Jun 27, 2022
SUMMARY: Identifying the protein-peptide binding residues is fundamentally important to understand the mechanisms of protein functions and explore drug discovery. Although several computational methods have been developed, most of them highly rely on...
Amino Acid Sequence Protein Binding Peptides Proteins Deep Learning
View on PubMed DOI

ScanNet uncovers binding motifs in protein structures with deep learning.

Nature methods Jun 1, 2022
Deep Learning Nucleotide Motifs Amino Acid Motifs Protein Binding Binding Sites
View on PubMed DOI

PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.

Bioinformatics (Oxford, England) Apr 12, 2022
MOTIVATION: Protein-RNA interactions play essential roles in many biological processes, including pre-mRNA processing, post-transcriptional gene regulation and RNA degradation. Accurate identification of binding sites on RNA-binding proteins (RBPs) i...
Binding Sites Membrane Proteins RNA Deep Learning Protein Binding Computational Biology RNA-Binding Proteins
View on PubMed DOI

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.

Briefings in bioinformatics Mar 10, 2022
Protein-protein interactions (PPIs) play a significant role in nearly all cellular and biological activities. Data-driven machine learning models have demonstrated great power in PPIs. However, the design of efficient molecular featurization poses a ...
Machine Learning Protein Binding Neural Networks, Computer
View on PubMed DOI

InDeep: 3D fully convolutional neural networks to assist in silico drug design on protein-protein interactions.

Bioinformatics (Oxford, England) Feb 7, 2022
MOTIVATION: Protein-protein interactions (PPIs) are key elements in numerous biological pathways and the subject of a growing number of drug discovery projects including against infectious diseases. Designing drugs on PPI targets remains a difficult ...
Drug Design Protein Binding Proteins Binding Sites Neural Networks, Computer
View on PubMed DOI

Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning.

Bioinformatics (Oxford, England) Jan 27, 2022
MOTIVATION: In recent years, cyclic peptide drugs have been receiving increasing attention because they can target proteins that are difficult to be tackled by conventional small-molecule drugs or antibody drugs. Plasma protein binding rate (%PPB) is...
Software Deep Learning Peptides, Cyclic Protein Binding Blood Proteins
View on PubMed DOI

Detection of transcription factors binding to methylated DNA by deep recurrent neural network.

Briefings in bioinformatics Jan 17, 2022
Transcription factors (TFs) are proteins specifically involved in gene expression regulation. It is generally accepted in epigenetics that methylated nucleotides could prevent the TFs from binding to DNA fragments. However, recent studies have confir...
Gene Expression Regulation Deep Learning Neural Networks, Computer Binding Sites Protein Binding Humans Algorithms DNA Transcription Factors DNA-Binding Proteins DNA Methylation
View on PubMed DOI

Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.

Briefings in bioinformatics Jan 17, 2022
Artificial intelligence (AI)-based drug design has great promise to fundamentally change the landscape of the pharmaceutical industry. Even though there are great progress from handcrafted feature-based machine learning models, 3D convolutional neura...
Molecular Structure Ligands Models, Theoretical Machine Learning Models, Molecular Neural Networks, Computer Drug Design Protein Binding Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals