Evidence map›Paper›PMID 24380381›Full record

ArticleJournal of chemical information and modeling2014

BP-Dock: a flexible docking scheme for exploring protein-ligand interactions based on unbound structures.

Ashini Bolia, Z Nevin Gerek, S Banu Ozkan

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Engineering gain-of-function mutants of a WW domain by dynamics and structural analysis.Protein science : a publication of the Protein Society · 2023
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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

3 authors.

Ashini BoliaCenter for Biological Physics, Department of Physics, Arizona State University , Tempe, Arizona 85287, United States.
Z Nevin Gerek
S Banu Ozkan

Funding

Center for the Rational Design of Membrane Protein CrystallographyU54GM094599 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI FROMME, PETRA · 2010 to 2014
$6.8M
NIGMS NIH HHS U54 GM094599
6 · The paper itself

Abstract

Molecular docking serves as an important tool in modeling protein-ligand interactions. However, it is still challenging to incorporate overall receptor flexibility, especially backbone flexibility, in docking due to the large conformational space that needs to be sampled. To overcome this problem, we developed a novel flexible docking approach, BP-Dock (Backbone Perturbation-Dock) that can integrate both backbone and side chain conformational changes induced by ligand binding through a multi-scale approach. In the BP-Dock method, we mimic the nature of binding-induced events as a first-order approximation by perturbing the residues along the protein chain with a small Brownian kick one at a time. The response fluctuation profile of the chain upon these perturbations is computed using the perturbation response scanning method. These response fluctuation profiles are then used to generate binding-induced multiple receptor conformations for ensemble docking. To evaluate the performance of BP-Dock, we applied our approach on a large and diverse data set using unbound structures as receptors. We also compared the BP-Dock results with bound and unbound docking, where overall receptor flexibility was not taken into account. Our results highlight the importance of modeling backbone flexibility in docking for recapitulating the experimental binding affinities, especially when an unbound structure is used. With BP-Dock, we can generate a wide range of binding site conformations realized in nature even in the absence of a ligand that can help us to improve the accuracy of unbound docking. We expect that our fast and efficient flexible docking approach may further aid in our understanding of protein-ligand interactions as well as virtual screening of novel targets for rational drug design.

Indexed as

Molecular Docking SimulationAmino Acid SequenceAnimalsBinding SitesDatabases, ProteinDrug DesignHumansLigandsPeptidesProtein BindingProteinsLigandsPeptidesProteins

Identifiers

PMID24380381
PMCPMC4857727

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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.