henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them

Jan BrezovskýiD, Aravind Selvaram ThirunavukarasuiD, Bartłomiej SurpetaiD, Carlos Eduardo Sequeiros-BorjaiD, Nishita MandaliD, Dheeraj Kumar SarkariD, Cedrix J. Dongmo FoumthuimiD, Nikhil AgrawaliD

PDFDOIPreprintCode

Abstract

Information regarding pathways through voids in biomolecules and their roles in ligand transport is critical to our understanding of the function of many biomolecules. Recently, the advent of high-throughput molecular dynamics simulations has enabled the study of these pathways, and of rare transport events. However, the scale and intricacy of the data produced requires dedicated tools in order to conduct analyses efficiently and without excessive demand on users. To fill this gap, we developed the TransportTools, which allows the investigation of pathways and their utilization across large, simulated datasets. TransportTools also facilitates the development of custom-made analyses. TransportTools is implemented in Python3 and distributed as pip and conda packages. The source code is available at https://github.com/labbit-eu/transport_tools.

Citations
15
FWCI
0.86
Field percentile
top 29%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.