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Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions

Our web server, PIZSA (http://cospi.iiserpune.ac.in/pizsa), assesses the likelihood of protein–protein interactions by assigning a Z Score computed from interface residue contacts. Our score takes into account the optimal number of atoms that mediate the interaction between pairs of residues and whe...

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Autores principales: Roy, Ankit A, Dhawanjewar, Abhilesh S, Sharma, Parichit, Singh, Gulzar, Madhusudhan, M S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602501/
https://www.ncbi.nlm.nih.gov/pubmed/31114890
http://dx.doi.org/10.1093/nar/gkz368
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author Roy, Ankit A
Dhawanjewar, Abhilesh S
Sharma, Parichit
Singh, Gulzar
Madhusudhan, M S
author_facet Roy, Ankit A
Dhawanjewar, Abhilesh S
Sharma, Parichit
Singh, Gulzar
Madhusudhan, M S
author_sort Roy, Ankit A
collection PubMed
description Our web server, PIZSA (http://cospi.iiserpune.ac.in/pizsa), assesses the likelihood of protein–protein interactions by assigning a Z Score computed from interface residue contacts. Our score takes into account the optimal number of atoms that mediate the interaction between pairs of residues and whether these contacts emanate from the main chain or side chain. We tested the score on 174 native interactions for which 100 decoys each were constructed using ZDOCK. The native structure scored better than any of the decoys in 146 cases and was able to rank within the 95th percentile in 162 cases. This easily outperforms a competing method, CIPS. We also benchmarked our scoring scheme on 15 targets from the CAPRI dataset and found that our method had results comparable to that of CIPS. Further, our method is able to analyse higher order protein complexes without the need to explicitly identify chains as receptors or ligands. The PIZSA server is easy to use and could be used to score any input three-dimensional structure and provide a residue pair-wise break up of the results. Attractively, our server offers a platform for users to upload their own potentials and could serve as an ideal testing ground for this class of scoring schemes.
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spelling pubmed-66025012019-07-05 Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions Roy, Ankit A Dhawanjewar, Abhilesh S Sharma, Parichit Singh, Gulzar Madhusudhan, M S Nucleic Acids Res Web Server Issue Our web server, PIZSA (http://cospi.iiserpune.ac.in/pizsa), assesses the likelihood of protein–protein interactions by assigning a Z Score computed from interface residue contacts. Our score takes into account the optimal number of atoms that mediate the interaction between pairs of residues and whether these contacts emanate from the main chain or side chain. We tested the score on 174 native interactions for which 100 decoys each were constructed using ZDOCK. The native structure scored better than any of the decoys in 146 cases and was able to rank within the 95th percentile in 162 cases. This easily outperforms a competing method, CIPS. We also benchmarked our scoring scheme on 15 targets from the CAPRI dataset and found that our method had results comparable to that of CIPS. Further, our method is able to analyse higher order protein complexes without the need to explicitly identify chains as receptors or ligands. The PIZSA server is easy to use and could be used to score any input three-dimensional structure and provide a residue pair-wise break up of the results. Attractively, our server offers a platform for users to upload their own potentials and could serve as an ideal testing ground for this class of scoring schemes. Oxford University Press 2019-07-02 2019-05-22 /pmc/articles/PMC6602501/ /pubmed/31114890 http://dx.doi.org/10.1093/nar/gkz368 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Roy, Ankit A
Dhawanjewar, Abhilesh S
Sharma, Parichit
Singh, Gulzar
Madhusudhan, M S
Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title_full Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title_fullStr Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title_full_unstemmed Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title_short Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
title_sort protein interaction z score assessment (pizsa): an empirical scoring scheme for evaluation of protein–protein interactions
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602501/
https://www.ncbi.nlm.nih.gov/pubmed/31114890
http://dx.doi.org/10.1093/nar/gkz368
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