Cargando…
ProtPOS: a python package for the prediction of protein preferred orientation on a surface
Summary: Atomistic molecular dynamics simulation is a promising technique to investigate the energetics and dynamics in the protein–surface adsorption process which is of high relevance to modern biotechnological applications. To increase the chance of success in simulating the adsorption process, f...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978930/ https://www.ncbi.nlm.nih.gov/pubmed/27153619 http://dx.doi.org/10.1093/bioinformatics/btw182 |
_version_ | 1782447242933698560 |
---|---|
author | Ngai, Jimmy C. F. Mak, Pui-In Siu, Shirley W. I. |
author_facet | Ngai, Jimmy C. F. Mak, Pui-In Siu, Shirley W. I. |
author_sort | Ngai, Jimmy C. F. |
collection | PubMed |
description | Summary: Atomistic molecular dynamics simulation is a promising technique to investigate the energetics and dynamics in the protein–surface adsorption process which is of high relevance to modern biotechnological applications. To increase the chance of success in simulating the adsorption process, favorable orientations of the protein at the surface must be determined. Here, we present ProtPOS which is a lightweight and easy-to-use python package that can predict low-energy protein orientations on a surface of interest. It combines a fast conformational sampling algorithm with the energy calculation of GROMACS. The advantage of ProtPOS is it allows users to select any force fields suitable for the system at hand and provide structural output readily available for further simulation studies. Availability and Implementation: ProtPOS is freely available for academic and non-profit uses at http://cbbio.cis.umac.mo/software/protpos Supplementary information: Supplementary data are available at Bioinformatics online. Contact: shirleysiu@umac.mo |
format | Online Article Text |
id | pubmed-4978930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49789302016-08-11 ProtPOS: a python package for the prediction of protein preferred orientation on a surface Ngai, Jimmy C. F. Mak, Pui-In Siu, Shirley W. I. Bioinformatics Applications Notes Summary: Atomistic molecular dynamics simulation is a promising technique to investigate the energetics and dynamics in the protein–surface adsorption process which is of high relevance to modern biotechnological applications. To increase the chance of success in simulating the adsorption process, favorable orientations of the protein at the surface must be determined. Here, we present ProtPOS which is a lightweight and easy-to-use python package that can predict low-energy protein orientations on a surface of interest. It combines a fast conformational sampling algorithm with the energy calculation of GROMACS. The advantage of ProtPOS is it allows users to select any force fields suitable for the system at hand and provide structural output readily available for further simulation studies. Availability and Implementation: ProtPOS is freely available for academic and non-profit uses at http://cbbio.cis.umac.mo/software/protpos Supplementary information: Supplementary data are available at Bioinformatics online. Contact: shirleysiu@umac.mo Oxford University Press 2016-08-15 2016-04-10 /pmc/articles/PMC4978930/ /pubmed/27153619 http://dx.doi.org/10.1093/bioinformatics/btw182 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Ngai, Jimmy C. F. Mak, Pui-In Siu, Shirley W. I. ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title_full | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title_fullStr | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title_full_unstemmed | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title_short | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
title_sort | protpos: a python package for the prediction of protein preferred orientation on a surface |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978930/ https://www.ncbi.nlm.nih.gov/pubmed/27153619 http://dx.doi.org/10.1093/bioinformatics/btw182 |
work_keys_str_mv | AT ngaijimmycf protposapythonpackageforthepredictionofproteinpreferredorientationonasurface AT makpuiin protposapythonpackageforthepredictionofproteinpreferredorientationonasurface AT siushirleywi protposapythonpackageforthepredictionofproteinpreferredorientationonasurface |