Evidence map›Paper›PMID 32802734›Full record

ArticleCurrent opinion in chemical engineering2019

Simulation methods for liquid-liquid phase separation of disordered proteins.

Gregory L Dignon, Wenwei Zheng, Jeetain Mittal

Open access · greenAbstract read
In one paragraph

Article in Current opinion in chemical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

68 citing papers in PubMed, 148 citations in OpenAlex.

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  11. Driving forces of RNA condensation revealed through coarse-grained modeling with explicit MgProceedings of the National Academy of Sciences of the United States of America · 2025
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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Gregory L DignonDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, 18015, United States.
Wenwei ZhengCollege of Integrative Sciences and Arts, Arizona State University, Mesa, AZ 85212.
Jeetain MittalDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, 18015, United States.
Lehigh University · USArizona State University · US

Funding

Turning off the molecular switch for pathological self-assembly of FUSR01GM118530 · NIGMS · BROWN UNIVERSITY · PI FAWZI, NICOLAS LUX · 2016 to 2020
$1.6M
Conformational dynamics, binding and aggregation of intrinsically disordered proteinsR01GM120537 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI VAIANA, SARA M. · 2017 to 2021
$1.4M
NIGMS NIH HHS R01 GM118530NIGMS NIH HHS R01 GM120537
6 · The paper itself

Abstract

Liquid-liquid phase separation of intrinsically disordered proteins (IDPs) and other biomolecules is a highly complex but robust process used by living systems. Drawing inspiration from biology, phase separating proteins have been successfully utilized for promising applications in fields of materials design and drug delivery. These protein-based materials are advantageous due to the ability to finely tune their stimulus-responsive phase behavior and material properties, and the ability to encode biologically active motifs directly into the sequence. The number of possible protein sequences is virtually endless, which makes sequence-based design a rather daunting task, but also attractive due to the amount of control coming from exploration of this variable space. The use of computational methods in this field of research have come to the aid in several aspects, including interpreting experimental results, identifying important structural features and molecular mechanisms capable of explaining the phase behavior, and ultimately providing predictive frameworks for rational design of protein sequences. Here we provide an overview of computational studies focused on phase separating biomolecules and the tools that are available to researchers interested in this topic.

Identifiers

PMID32802734
PMCPMC7426017
OpenAlexW2942327095

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.