Evidence map›Paper›PMID 38722032›Full record

ReviewExpert opinion on drug discovery2024

Understanding the impact of binding free energy and kinetics calculations in modern drug discovery.

Victor A Adediwura, Kushal Koirala, Hung N Do, Jinan Wang, Yinglong Miao

Abstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025
    Review
  17. Article
  18. Multi-Objective Loss Function For Free Energy Calculations.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  19. Pharmaceuticals (Basel, Switzerland) · 2024
    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

5 authors.

Victor A AdediwuraDepartment of Pharmacology and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0009-0008-3337-2747
Kushal KoiralaDepartment of Pharmacology and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0009-0009-7935-4533
Hung N DoCenter for Computational Biology, University of Kansas, Lawrence, KS, USA.ORCID 0000-0002-6497-4096
Jinan WangDepartment of Pharmacology and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-0162-212X
Yinglong MiaoDepartment of Pharmacology and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-3714-1395

Funding

Enhanced Sampling of G-Protein-Coupled Receptor-G Protein InteractionsR01GM132572 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MIAO, YINGLONG · 2019 to 2023
$1.5M
NIGMS NIH HHS R01 GM132572
6 · The paper itself

Abstract

introductionFor rational drug design, it is crucial to understand the receptor-drug binding processes and mechanisms. A new era for the use of computer simulations in predicting drug-receptor interactions at an atomic level has begun with remarkable advances in supercomputing and methodological breakthroughs. AREAS COVERED: End-point free energy calculation methods such as Molecular Mechanics/Poisson Boltzmann Surface Area (MM/PBSA) or Molecular-Mechanics/Generalized Born Surface Area (MM/GBSA), free energy perturbation (FEP), and thermodynamic integration (TI) are commonly used for binding free energy calculations in drug discovery. In addition, kinetic dissociation and association rate constants ( EXPERT OPINION: The applications of computational methods in drug discovery and design are expanding, thanks to improved predictions of the binding free energy and kinetic rates of drug molecules. Recent microsecond-timescale enhanced sampling simulations have made it possible to accurately capture repetitive ligand binding and dissociation, facilitating more efficient and accurate calculations of ligand binding free energy and kinetics.

Indexed as

Drug DesignDrug DiscoveryMolecular Dynamics SimulationThermodynamicsComputer SimulationHumansKineticsPharmaceutical PreparationsProtein BindingPharmaceutical PreparationsComputer-aided drug designenhanced samplingfree energykineticsmolecular dynamics

Identifiers

PMID38722032
PMCPMC11108734

What Socratic 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 Socratic graph.