Evidence map›Paper›PMID 32330035›Full record

ArticleJournal of chemical theory and computation2020

Predicting Reactive Cysteines with Implicit-Solvent-Based Continuous Constant pH Molecular Dynamics in Amber.

Robert C Harris, Ruibin Liu, Jana Shen

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Recent Developments in Amber Biomolecular Simulations.Journal of chemical information and modeling · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. KaMLs for Predicting Protein pJournal of chemical theory and computation · 2025
    Article
  8. KaMLs for Predicting Protein pbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Scalable Constant pH Molecular Dynamics in GROMACS.Journal of chemical theory and computation · 2022
    Article
  18. Article
  19. Article
  20. Article
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 1 institution in 1 country.

Robert C HarrisDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.ORCID http://orcid.org/0000-0002-1130-6457
Ruibin LiuComputChem LLC, Baltimore, Maryland 21202, United States.ORCID http://orcid.org/0000-0001-8395-9353
Jana ShenDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.ORCID http://orcid.org/0000-0002-3234-0769
University of Maryland, Baltimore · US

Funding

Electrostatic modulation of protein stability and foldingR01GM098818 · NIGMS · UNIVERSITY OF OKLAHOMA · PI SHEN, JANA · 2011 to 2021
$2.9M
NIGMS NIH HHS R01 GM098818
6 · The paper itself

Abstract

Cysteines existing in the deprotonated thiolate form or having a tendency to become deprotonated are important players in enzymatic and cellular redox functions and frequently exploited in covalent drug design; however, most computational studies assume cysteines as protonated. Thus, developing an efficient tool that can make accurate and reliable predictions of cysteine protonation states is timely needed. We recently implemented a generalized Born (GB) based continuous constant pH molecular dynamics (CpHMD) method in Amber for protein p

Indexed as

AmberCysteineHumansMolecular Dynamics SimulationSolventsThermodynamicsAmberCysteineSolvents

Identifiers

PMID32330035
PMCPMC7772776
OpenAlexW3018223376

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.