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SOURSOP: A Python Package for the Analysis of Simulations of Intrinsically Disordered Proteins.

Jared M LalmansinghAlex T KeeleyKiersten M RuffRohit V PappuAlex S Holehouse
Published in: Journal of chemical theory and computation (2023)
Conformational heterogeneity is a defining hallmark of intrinsically disordered proteins and protein regions (IDRs). The functions of IDRs and the emergent cellular phenotypes they control are associated with sequence-specific conformational ensembles. Simulations of conformational ensembles that are based on atomistic and coarse-grained models are routinely used to uncover the sequence-specific interactions that may contribute to IDR functions. These simulations are performed either independently or in conjunction with data from experiments. Functionally relevant features of IDRs can span a range of length scales. Extracting these features requires analysis routines that quantify a range of properties. Here, we describe a new analysis suite simulation analysis of unfolded regions of proteins (SOURSOP), an object-oriented and open-source toolkit designed for the analysis of simulated conformational ensembles of IDRs. SOURSOP implements several analysis routines motivated by principles in polymer physics, offering a unique collection of simple-to-use functions to characterize IDR ensembles. As an extendable framework, SOURSOP supports the development and implementation of new analysis routines that can be easily packaged and shared.
Keyphrases
  • molecular dynamics
  • molecular dynamics simulations
  • primary care
  • healthcare
  • small molecule
  • big data
  • deep learning
  • endoplasmic reticulum stress
  • monte carlo