Evidence map›Paper›PMID 31185706›Full record

ArticleMolecules (Basel, Switzerland)2019

Systematic Studies on the Protocol and Criteria for Selecting a Covalent Docking Tool.

Chang Wen, Xin Yan, Qiong Gu, Jiewen Du, Di Wu, Yutong Lu, Huihao Zhou, Jun Xu

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Discovery of Covalent Ligands with AlphaFold3.Journal of the American Chemical Society · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Two-Step Covalent Docking with Attracting Cavities.Journal of chemical information and modeling · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. 10 years into the resurgence of covalent drugs.Future medicinal chemistry · 2021
    Article
  18. Review
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

8 authors at 2 institutions in 1 country.

Chang WenResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. wench7@mail2.sysu.edu.cn.
Xin YanResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. yanx28@mail.sysu.edu.cn.
Qiong GuResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. guqiong@mail.sysu.edu.cn.
Jiewen DuResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. jiewen.du@xtalpi.com.
Di WuNational Supercomputer Center in Guangzhou & School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. wudi27@mail.sysu.edu.cn.
Yutong LuNational Supercomputer Center in Guangzhou & School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. yutong.lu@nscc-gz.cn.
Huihao ZhouResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. zhuihao@mail.sysu.edu.cn.
Jun XuResearch Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. junxu@biochemomes.com.ORCID 0000-0002-1075-0337
Sun Yat-sen University · CNNational Supercomputing Center in Shenzhen · CN

Funding

GD Frontier & Key Techn. Innovation Program 2015B010109004GD-NSF 2016A030310228Guangdong Provincial Key Lab. Of Construction Foundation 2011A060901014Natural Science Foundation of China U1611261science & technology planning project of Guangdong Province 2016A020217005science & technology program of Guangzhou 201604020109the National Key R&D Program of China 2017YFB02034043the program for Guangdong Introducing Innovative and Entrepreneurial Teams 2016ZT06D211
6 · The paper itself

Abstract

With the resurgence of drugs with covalent binding mechanisms, much attention has been paid to docking methods for the discovery of targeted covalent inhibitors. The existence of many available covalent docking tools has inspired development of a systematic and objective procedure and criteria with which to evaluate these programs. In order to find a tool appropriate to studies of a covalently binding system, protocols and criteria are proposed for protein-ligand covalent docking studies. This paper consists of three sections: (1) curating a standard data set to evaluate covalent docking tools objectively; (2) establishing criteria to measure the performance of a tool applied for docking ligands into a complex system; and (3) creating a protocol to evaluate and select covalent binding tools. The protocols were applied to evaluate four covalent docking tools (MOE, GOLD, CovDock, and ICM-Pro) and parameters affecting covalent docking performance were investigated.

Indexed as

Molecular Docking SimulationBinding SitesCathepsin LCysteineDatabases, ProteinLigandsProtein DomainsCathepsin LCysteineLigandschemoinformaticscovalent dockingdrug designmolecular modelingprotein binding

Identifiers

PMID31185706
PMCPMC6600387
OpenAlexW2951287130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.