Work

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

Year: 2021

Type: article

Source: Journal of Molecular Biology

DOI: 10.1016/j.jmb.2022.167530

Authors: Eric W. Bell, Jacob H. Schwartz, Lydia Freddolino, Yang Zhang

Institution: University of Michigan

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: IIBR: Informatics: RAPID: Genome-wide Structure and Function Modeling of the SARS-CoV-2 Virus, III: Medium: Collaborative Research: Multi-level computational approaches to protein function prediction, Advanced approaches to protein structure prediction, G2464480468, G3226045097, MTM 2: Combining structural informatics and crosslinking mass spectrometry to predict the key protein-protein interactions shaping symbiotic microbial communities, G758395984, G7897283973, High-Performance Computing Cluster for Biomedical Research, Structure-based functional annotation of microbial genomes

OpenAlex ID: W4220851257

FWCI: 2.663

Cites: 39

Cited by: 66

Related to: 10