Evidence map›Paper›PMID 33498237›Full record

ArticleLife (Basel, Switzerland)2021

Qualitative Prediction of Ligand Dissociation Kinetics from Focal Adhesion Kinase Using Steered Molecular Dynamics.

Justin Spiriti, Chung F Wong

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. ModBindProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. ModBind, a Rapid Simulation-Based Predictor of Ligand Binding and Off-Rates.Journal of chemical information and modeling · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

2 authors at 1 institution in 1 country.

Justin SpiritiDepartment of Chemistry and Bochemistry, University of Missouri-St. Louis, St. Louis, MO 63121-4400, USA.ORCID 0000-0001-7338-3012
Chung F WongDepartment of Chemistry and Bochemistry, University of Missouri-St. Louis, St. Louis, MO 63121-4400, USA.
University of Missouri–St. Louis · US

Funding

Computer-Aided Drug Design Targeting Protein PhosphorylationR15CA224033 · NCI · UNIVERSITY OF MISSOURI-ST. LOUIS · PI WONG, CHUNG F. · 2019 to 2025
$1.5M
NCI NIH HHS R15 CA224033NIH HHS R15-CA224033
6 · The paper itself

Abstract

Most early-stage drug discovery projects focus on equilibrium binding affinity to the target alongside selectivity and other pharmaceutical properties. Since many approved drugs have nonequilibrium binding characteristics, there has been increasing interest in optimizing binding kinetics early in the drug discovery process. As focal adhesion kinase (FAK) is an important drug target, we examine whether steered molecular dynamics (SMD) can be useful for identifying drug candidates with the desired drug-binding kinetics. In simulating the dissociation of 14 ligands from FAK, we find an empirical power-law relationship between the simulated time needed for ligand unbinding and the experimental rate constant for dissociation, with a strong correlation depending on the SMD force used. To improve predictions, we further develop regression models connecting experimental dissociation rate with various structural and energetic quantities derived from the simulations. These models can be used to predict dissociation rates from FAK for related compounds.

Indexed as

drug-binding kineticsfocal adhesion kinasefree energy methodssteered molecular dynamicsumbrella sampling

Identifiers

PMID33498237
PMCPMC7909260
OpenAlexW3125480257

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.