Evidence map›Paper›PMID 21971880›Full record

ArticleProteins2012

BSP-SLIM: a blind low-resolution ligand-protein docking approach using predicted protein structures.

Hui Sun Lee, Yang Zhang

Abstract read
In one paragraph

Article in Proteins, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

43 citing papers in PubMed.

  1. Review
  2. Protein-Ligand Blind Docking Using CB-Dock2.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Synthesis of Pyrrolo[3,4-Pharmaceuticals (Basel, Switzerland) · 2023
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  5. CHARMM-GUIJournal of chemical information and modeling · 2021
    Article
  6. Residue-Residue Interaction Prediction via Stacked Meta-Learning.International journal of molecular sciences · 2021
    Article
  7. FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening.Journal of chemical information and modeling · 2021
    Article
  8. Immunoediting role for major vault protein in apoptotic signaling induced by bacterialProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Maturation Mechanism of Nitrile Hydratase FromFrontiers in microbiology · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Interaction of rs316019 variants of SLC22A2 with metformin and other drugs- anJournal, genetic engineering & biotechnology · 2018
    Article
  19. FINDSITEJournal of chemical information and modeling · 2018
    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.

Hui Sun LeeDepartment of Biological Chemistry, Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Yang Zhang

Funding

I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIGMS NIH HHS GM083107NIGMS NIH HHS GM084222NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222
6 · The paper itself

Abstract

We developed BSP-SLIM, a new method for ligand-protein blind docking using low-resolution protein structures. For a given sequence, protein structures are first predicted by I-TASSER; putative ligand binding sites are transferred from holo-template structures which are analogous to the I-TASSER models; ligand-protein docking conformations are then constructed by shape and chemical match of ligand with the negative image of binding pockets. BSP-SLIM was tested on 71 ligand-protein complexes from the Astex diverse set where the protein structures were predicted by I-TASSER with an average RMSD 2.92 Å on the binding residues. Using I-TASSER models, the median ligand RMSD of BSP-SLIM docking is 3.99 Å which is 5.94 Å lower than that by AutoDock; the median binding-site error by BSP-SLIM is 1.77 Å which is 6.23 Å lower than that by AutoDock and 3.43 Å lower than that by LIGSITE(CSC) . Compared to the models using crystal protein structures, the median ligand RMSD by BSP-SLIM using I-TASSER models increases by 0.87 Å, while that by AutoDock increases by 8.41 Å; the median binding-site error by BSP-SLIM increase by 0.69Å while that by AutoDock and LIGSITE(CSC) increases by 7.31 Å and 1.41 Å, respectively. As case studies, BSP-SLIM was used in virtual screening for six target proteins, which prioritized actives of 25% and 50% in the top 9.2% and 17% of the library on average, respectively. These results demonstrate the usefulness of the template-based coarse-grained algorithms in the low-resolution ligand-protein docking and drug-screening. An on-line BSP-SLIM server is freely available at http://zhanglab.ccmb.med.umich.edu/BSP-SLIM.

Indexed as

Computer SimulationModels, MolecularSoftwareAlgorithmsAmino Acid MotifsBinding SitesEnzymesHumansProtein BindingProtein Structure, TertiaryReceptors, Cell SurfaceROC CurveSurface PropertiesEnzymesReceptors, Cell Surface

Identifiers

PMID21971880
PMCPMC3240723

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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.