Evidence map›Paper›PMID 25902779›Full record

ArticleBMC bioinformatics2015

DOCKSCORE: a webserver for ranking protein-protein docked poses.

Sony Malhotra, Oommen K Mathew, Ramanathan Sowdhamini

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Sony MalhotraNational Centre for Biological Sciences (TIFR), UAS-GKVK Campus, Bellary Road, Bangalore, 560 065, India. sonym@ncbs.res.in.
Oommen K MathewNational Centre for Biological Sciences (TIFR), UAS-GKVK Campus, Bellary Road, Bangalore, 560 065, India. oommenkm@ncbs.res.in.
Ramanathan SowdhaminiNational Centre for Biological Sciences (TIFR), UAS-GKVK Campus, Bellary Road, Bangalore, 560 065, India. mini@ncbs.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteins interact with a variety of other molecules such as nucleic acids, small molecules and other proteins inside the cell. Structure-determination of protein-protein complexes is challenging due to several reasons such as the large molecular weights of these macromolecular complexes, their dynamic nature, difficulty in purification and sample preparation. Computational docking permits an early understanding of the feasibility and mode of protein-protein interactions. However, docking algorithms propose a number of solutions and it is a challenging task to select the native or near native pose(s) from this pool. DockScore is an objective scoring scheme that can be used to rank protein-protein docked poses. It considers several interface parameters, namely, surface area, evolutionary conservation, hydrophobicity, short contacts and spatial clustering at the interface for scoring.

resultsWe have implemented DockScore in form of a webserver for its use by the scientific community. DockScore webserver can be employed, subsequent to docking, to perform scoring of the docked solutions, starting from multiple poses as inputs. The results, on scores and ranks for all the poses, can be downloaded as a csv file and graphical view of the interface of best ranking poses is possible.

conclusionsThe webserver for DockScore is made freely available for the scientific community at: http://caps.ncbs.res.in/dockscore/ .

Indexed as

AlgorithmsInternetMolecular Docking SimulationSoftwareHumansProtein BindingProtein Interaction Domains and MotifsProteinsras GTPase-Activating ProteinsProteinsRASA4 protein, humanras GTPase-Activating Proteins

Identifiers

PMID25902779
PMCPMC4414291

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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.