Evidence map›Paper›PMID 25229837›Full record

ArticleThe journal of physical chemistry. B2015

Pharmacophore-based similarity scoring for DOCK.

Lingling Jiang, Robert C Rizzo

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.Journal of computer-aided molecular design · 2026
    Article
  2. Article
  3. Article
  4. A molecular evolution algorithm for ligand design in DOCK.Journal of computational chemistry · 2022
    Article
  5. Article
  6. Review
  7. Leveraging nonstructural data to predict structures and affinities of protein-ligand complexes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Application of MM-PBSA Methods in Virtual Screening.Molecules (Basel, Switzerland) · 2020
    Review
  12. Article
  13. Article
  14. Molecular Docking: Shifting Paradigms in Drug Discovery.International journal of molecular sciences · 2019
    Review
  15. Article
  16. Article
  17. 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

2 authors.

Lingling JiangDepartment of Applied Mathematics & Statistics, ‡Institute of Chemical Biology & Drug Discovery, §Laufer Center for Physical & Quantitative Biology, Stony Brook University , Stony Brook, New York 11794-3600, United States.
Robert C Rizzo

Funding

Computational Design of Fusion Inhibitors Targeting Drug-resistant HIVgp41R01GM083669 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI RIZZO, ROBERT C. · 2008 to 2016
$2.6M
NIGMS NIH HHS R01 GM083669NIGMS NIH HHS R01GM083669
6 · The paper itself

Abstract

Pharmacophore modeling incorporates geometric and chemical features of known inhibitors and/or targeted binding sites to rationally identify and design new drug leads. In this study, we have encoded a three-dimensional pharmacophore matching similarity (FMS) scoring function into the structure-based design program DOCK. Validation and characterization of the method are presented through pose reproduction, crossdocking, and enrichment studies. When used alone, FMS scoring dramatically improves pose reproduction success to 93.5% (∼20% increase) and reduces sampling failures to 3.7% (∼6% drop) compared to the standard energy score (SGE) across 1043 protein-ligand complexes. The combined FMS+SGE function further improves success to 98.3%. Crossdocking experiments using FMS and FMS+SGE scoring, for six diverse protein families, similarly showed improvements in success, provided proper pharmacophore references are employed. For enrichment, incorporating pharmacophores during sampling and scoring, in most cases, also yield improved outcomes when docking and rank-ordering libraries of known actives and decoys to 15 systems. Retrospective analyses of virtual screenings to three clinical drug targets (EGFR, IGF-1R, and HIVgp41) using X-ray structures of known inhibitors as pharmacophore references are also reported, including a customized FMS scoring protocol to bias on selected regions in the reference. Overall, the results and fundamental insights gained from this study should benefit the docking community in general, particularly researchers using the new FMS method to guide computational drug discovery with DOCK.

Indexed as

Drug DesignMolecular Docking SimulationCrystallography, X-RayProtein ConformationThermodynamics

Identifiers

PMID25229837
PMCPMC4306494

What OpenQuestion holds

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Registered trials

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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.