AIMC Topic: Protein Interaction Mapping

Clear Filters Showing 51 to 60 of 231 articles

Identifying Protein Subcellular Locations With Embeddings-Based node2loc.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2022
Identifying protein subcellular locations is an important topic in protein function prediction. Interacting proteins may share similar locations. Thus, it is imperative to infer protein subcellular locations by taking protein-protein interactions (PP...
Proteins Saccharomyces cerevisiae Protein Interaction Mapping Humans Neural Networks, Computer
View on PubMed DOI

BIPSPI+: Mining Type-Specific Datasets of Protein Complexes to Improve Protein Binding Site Prediction.

Journal of molecular biology Mar 21, 2022
Computational approaches for predicting protein-protein interfaces are extremely useful for understanding and modelling the quaternary structure of protein assemblies. In particular, partner-specific binding site prediction methods allow delineating ...
Datasets as Topic Binding Sites Internet Use Protein Interaction Mapping Software Machine Learning Protein Binding Proteins
View on PubMed DOI

PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning.

Journal of molecular biology Mar 5, 2022
Proteome-wide identification of protein-protein interactions is a formidable task which has yet to be sufficiently addressed by experimental methodologies. Many computational methods have been developed to predict proteome-wide interaction networks, ...
Proteomics Proteome Bayes Theorem Software Humans Protein Interaction Mapping COVID-19 Machine Learning SARS-CoV-2
View on PubMed DOI

Recent advances in predicting protein-protein interactions with the aid of artificial intelligence algorithms.

Current opinion in structural biology Feb 23, 2022
Protein-protein interactions (PPIs) are essential in the regulation of biological functions and cell events, therefore understanding PPIs have become a key issue to understanding the molecular mechanism and investigating the design of drugs. Here we ...
Artificial Intelligence Algorithms Computational Biology Protein Interaction Mapping
View on PubMed DOI

Residue-Frustration-Based Prediction of Protein-Protein Interactions Using Machine Learning.

The journal of physical chemistry. B Feb 16, 2022
The study of protein-protein interactions (PPIs) is important in understanding the function of proteins. However, it is still a challenge to investigate the transient protein-protein interaction by experiments. Hence, the computational prediction for...
Algorithms Computational Biology Proteins Neural Networks, Computer Machine Learning Protein Interaction Mapping
View on PubMed DOI

Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2022
Understanding the behavioral process of life and disease-causing mechanism, knowledge regarding protein-protein interactions (PPI) is essential. In this paper, a novel hybrid approach combining deep neural network (DNN) and extreme gradient boosting ...
Amino Acids Saccharomyces cerevisiae Protein Interaction Mapping Humans Neural Networks, Computer Software
View on PubMed DOI

Harnessing protein folding neural networks for peptide-protein docking.

Nature communications Jan 10, 2022
Highly accurate protein structure predictions by deep neural networks such as AlphaFold2 and RoseTTAFold have tremendous impact on structural biology and beyond. Here, we show that, although these deep learning approaches have originally been develop...
Protein Interaction Domains and Motifs Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Binding Sites Protein Interaction Mapping Protein Folding Models, Molecular Amino Acid Sequence Neural Networks, Computer Molecular Docking Simulation Software Protein Binding Peptides Proteins
View on PubMed DOI

Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.

PloS one Dec 31, 2021
Characterization of protein complexes, i.e. sets of proteins assembling into a single larger physical entity, is important, as such assemblies play many essential roles in cells such as gene regulation. From networks of protein-protein interactions, ...
Computational Biology SARS-CoV-2 Humans Proteins Viral Proteins Supervised Machine Learning COVID-19 Protein Interaction Maps Protein Interaction Mapping Protein Binding
View on PubMed DOI

Computed structures of core eukaryotic protein complexes.

Science (New York, N.Y.) Dec 10, 2021
Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take advantage of advances in proteome-wide amino acid coe...
Saccharomyces cerevisiae Ubiquitin Protein Interaction Mapping Saccharomyces cerevisiae Proteins DNA Repair Protein Biosynthesis Evolution, Molecular Models, Molecular Protein Conformation Deep Learning Proteome Protein Interaction Maps Membrane Proteins Homologous Recombination Computational Biology Computer Simulation Chromosome Segregation Ligases Ribosomes Multiprotein Complexes Acyltransferases
View on PubMed DOI

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces.

Nature communications Dec 3, 2021
Three-dimensional (3D) structures of protein complexes provide fundamental information to decipher biological processes at the molecular scale. The vast amount of experimentally and computationally resolved protein-protein interfaces (PPIs) offers th...
Data Mining Molecular Docking Simulation Datasets as Topic Protein Interaction Mapping Deep Learning Protein Interaction Domains and Motifs Protein Interaction Maps Crystallography
View on PubMed DOI
Popular Topics
Recent Journals