Evidence map›Paper›PMID 37463458›Full record

ArticleJournal of chemical theory and computation2023

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

Jared M Lalmansingh, Alex T Keeley, Kiersten M Ruff, Rohit V Pappu, Alex S Holehouse

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  15. Molecular insights into the interaction between a disordered protein and a folded RNA.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jared M LalmansinghDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Alex T KeeleyDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Kiersten M RuffDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0003-3240-1856
Rohit V PappuDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0003-2568-1378
Alex S HolehouseCenter for Biomolecular Condensates, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0002-4155-5729

Funding

Understanding the Sequence and Structural Determinants of Phase Behavior of ALS-Causing ProteinsR01NS121114 · NINDS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Tanja Mittag, ROHIT V PAPPU · 2021 to 2026
$3.8M
NINDS NIH HHS R01 NS121114
6 · The paper itself

Abstract

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.

Indexed as

AnnonaIntrinsically Disordered ProteinsComputer SimulationProtein ConformationProtein DomainsIntrinsically Disordered Proteins

Identifiers

PMID37463458
PMCPMC11188088

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.