PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms
Protein function prediction is gradually emerging as an essential field in biological and computational studies. Though the latter has clinched a significant footprint, it has been observed that the application of computational information gathered from multiple sources has more significant influenc...
Main Authors: | Kaustav Sengupta, Sovan Saha, Anup Kumar Halder, Piyali Chatterjee, Mita Nasipuri, Subhadip Basu, Dariusz Plewczynski |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-09-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.969915/full |
Similar Items
-
FunPred 3.0: improved protein function prediction using protein interaction network
by: Sovan Saha, et al.
Published: (2019-05-01) -
Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN
by: Anik Banik, et al.
Published: (2022-08-01) -
ML-DTD: Machine Learning-Based Drug Target Discovery for the Potential Treatment of COVID-19
by: Sovan Saha, et al.
Published: (2022-09-01) -
EPI-SF: essential protein identification in protein interaction networks using sequence features
by: Sovan Saha, et al.
Published: (2024-03-01) -
Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human–Coronavirus Family Interactome
by: Soumyendu Sekhar Bandyopadhyay, et al.
Published: (2023-02-01)