AIMC Topic: Protein Interaction Mapping

Clear Filters Showing 41 to 50 of 239 articles

CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions.

IEEE journal of biomedical and health informatics May 6, 2024
Exploring protein-protein interaction (PPI) is of paramount importance for elucidating the intrinsic mechanism of various biological processes. Nevertheless, experimental determination of PPI can be both time-consuming and expensive, motivating the e...
Algorithms Deep Learning Humans Databases, Protein Protein Interaction Mapping Computational Biology Proteins
View on PubMed DOI

MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism.

Computers in biology and medicine May 3, 2024
Proteins play a vital role in various biological processes and achieve their functions through protein-protein interactions (PPIs). Thus, accurate identification of PPI sites is essential. Traditional biological methods for identifying PPIs are costl...
Protein Interaction Mapping Deep Learning Computational Biology Proteins Databases, Protein Humans
View on PubMed DOI

PPII-AEAT: Prediction of protein-protein interaction inhibitors based on autoencoders with adversarial training.

Computers in biology and medicine Mar 16, 2024
Protein-protein interactions (PPIs) have shown increasing potential as novel drug targets. The design and development of small molecule inhibitors targeting specific PPIs are crucial for the prevention and treatment of related diseases. Accordingly, ...
Machine Learning Protein Interaction Mapping
View on PubMed DOI

Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology.

The protein journal Mar 4, 2024
Protein-protein interactions (PPIs) involve the physical or functional contact between two or more proteins. Generally, proteins that can interact with each other always have special relationships. Some previous studies have reported that gene ontolo...
Computational Biology Proteins Humans Protein Interaction Maps Protein Interaction Mapping Databases, Protein Gene Ontology
View on PubMed DOI

Revolutionizing protein-protein interaction prediction with deep learning.

Current opinion in structural biology Feb 7, 2024
Protein-protein interactions (PPIs) are pivotal for driving diverse biological processes, and any disturbance in these interactions can lead to disease. Thus, the study of PPIs has been a central focus in biology. Recent developments in deep learning...
Proteins Protein Interaction Mapping Algorithms Deep Learning Genomics Computational Biology
View on PubMed DOI

DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.

BMC bioinformatics Dec 14, 2023
PURPOSE: Sequenced Protein-Protein Interaction (PPI) prediction represents a pivotal area of study in biology, playing a crucial role in elucidating the mechanistic underpinnings of diseases and facilitating the design of novel therapeutic interventi...
Proteins Amino Acid Sequence Protein Interaction Mapping Neural Networks, Computer Deep Learning
View on PubMed DOI

A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions.

Journal of chemical information and modeling Dec 1, 2023
Protein-protein interactions (PPIs) are essential for various biological processes and diseases. However, most existing computational methods for identifying PPI modulators require either target structure or reference modulators, which restricts thei...
Protein Interaction Mapping Kelch-Like ECH-Associated Protein 1 Deep Learning NF-E2-Related Factor 2 Molecular Docking Simulation
View on PubMed DOI

CSM-Potential2: A comprehensive deep learning platform for the analysis of protein interacting interfaces.

Proteins Oct 23, 2023
Proteins are molecular machinery that participate in virtually all essential biological functions within the cell, which are tightly related to their 3D structure. The importance of understanding protein structure-function relationship is highlighted...
Protein Interaction Mapping Proteins Protein Interaction Domains and Motifs Databases, Protein Humans Protein Binding Protein Conformation Models, Molecular Software Computational Biology Binding Sites Deep Learning Ligands
View on PubMed DOI

Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2023
Protein-protein interactions (PPIs) play a critical role in the proteomics study, and a variety of computational algorithms have been developed to predict PPIs. Though effective, their performance is constrained by high false-positive and false-negat...
Protein Interaction Mapping Algorithms Proteins Neural Networks, Computer
View on PubMed DOI

DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein-Protein Interactions.

IEEE transactions on nanobioscience Oct 3, 2023
Protein-protein interactions (PPI) are crucial for understanding the behaviour of living organisms and identifying disease associations. This paper proposes DensePPI, a novel deep convolution strategy applied to the 2D image map generated from the in...
Deep Learning Mice Escherichia coli Proteins Humans Animals Caenorhabditis elegans Protein Interaction Mapping
View on PubMed DOI
Popular Topics
Recent Journals