meta-PPISP statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool meta-PPISP
info

Tool usage distribution map

This map represents all the scientific publications referring to meta-PPISP per scientific context
info info

Associated diseases

info

Popular tool citations

chevron_left Protein-protein interface prediction chevron_right
Want to access the full stats & trends on this tool?

Protocols

meta-PPISP specifications

Information


Unique identifier OMICS_08147
Name meta-PPISP
Interface Web user interface
Restrictions to use None
Input data Protein structures
Input format PDB
Computer skills Basic
Stability Stable
Maintained Yes

Publication for meta-PPISP

meta-PPISP citations

 (19)
library_books

Ebola virus VP24 interacts with NP to facilitate nucleocapsid assembly and genome packaging

2017
Sci Rep
PMCID: 5550494
PMID: 28794491
DOI: 10.1038/s41598-017-08167-8

[…] putational methods: Voronoi Random Forest Feedback Interface Predictor (VORFFIP), Consensus Protein-Protein Interaction Site Predictor (cons-PPISP), , Meta Protein-Protein Interaction Site Predictor (meta-PPISP), and Solvent Accessibility based Protein-Protein Interface Identification and Recognition (SPPIDER). The consensus predictions of each method were combined to generate the prediction shown […]

library_books

Integrative modelling of TIR domain containing adaptor molecule inducing interferon β (TRIF) provides insights into its autoinhibited state

2017
Biol Direct
PMCID: 5397763
PMID: 28427457
DOI: 10.1186/s13062-017-0179-0

[…] of its surface reveals presence of two clefts. Residues lining the major cleft are mostly acidic, but the residues within the cleft are mainly non-polar residues. Binding site prediction algorithms, meta-PPISP [] and SPPIDER [], pinpoint certain sets of residues which cluster into two distinct regions on the N-terminal domain. These regions are located opposite to each other. One region (denoted […]

call_split

Structural and dynamics studies of a truncated variant of CI repressor from bacteriophage TP901 1

2016
Sci Rep
PMCID: 4941734
PMID: 27403839
DOI: 10.1038/srep29574
call_split See protocol

[…] Fold recognition searches using the sequence of CI∆58 were carried out using the Protein Homology/analogY Recognition Engine V 2.0 (PHYRE2). The structure of the extended CI-NTD was submitted to the meta.PPISP server to detect regions potentially involved in protein-protein interactions. […]

library_books

Structural neighboring property for identifying protein protein binding sites

2015
BMC Syst Biol
PMCID: 4565107
PMID: 26356630
DOI: 10.1186/1752-0509-9-S5-S3

[…] In this experiment, we compare our method to metaPPI, meta-PPISP and PPIPred. The test data consists of 41 complexes by metaPPI [], divided into two categories: enzyme-inhibitor (EI) and others. The overall Fnat and Fnon−nat values for each prediction me […]

library_books

Structural characterization of the carbohydrate binding module of NanA sialidase, a pneumococcal virulence factor

2015
BMC Struct Biol
PMCID: 4546082
PMID: 26289431
DOI: 10.1186/s12900-015-0042-4

[…] The meta-PPISP server was used to predict potential protein-protein interaction sites on SpCBM []. The server combines three different methods in a linear regression analysis, a strategy which improves ac […]

library_books

Progress and challenges in predicting protein interfaces

2015
Brief Bioinform
PMCID: 4719070
PMID: 25971595
DOI: 10.1093/bib/bbv027

[…] ss a degree of orthogonality, they may be combined in a consensus-based classifier. Therefore, some methods have integrated individual interface predictors into one meta framework [, ]. For instance, meta-PPISP [] combines the prediction scores of PINUP, Cons-PPISP and ProMate using linear regression analysis. One review study [] confirmed the superiority of meta-PPISP over its constituent PINUP [ […]


Want to access the full list of citations?
meta-PPISP institution(s)
Institute of Molecular Biophysics, School of Computational Science, Florida State University, Tallahassee, FL, USA
meta-PPISP funding source(s)
This work was support in part by NIH Grant GM058187.

meta-PPISP reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review meta-PPISP