Evidence map›Paper›PMID 26140438›Full record

ReviewMolecules (Basel, Switzerland)2015

Analysis and Ranking of Protein-Protein Docking Models Using Inter-Residue Contacts and Inter-Molecular Contact Maps.

Romina Oliva, Edrisse Chermak, Luigi Cavallo

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2015. 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
1.1field-weighted citation impact, top 24% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Romina OlivaDepartment of Sciences and Technologies, University "Parthenope" of Naples, Centro Direzionale Isola C4, 80143 Naples, Italy. romina.oliva@uniparthenope.it.
Edrisse ChermakKaust Catalysis Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, 23955-6900 Thuwal, Saudi Arabia. edrisse.chermak@kaust.edu.sa.
Luigi CavalloKaust Catalysis Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, 23955-6900 Thuwal, Saudi Arabia. luigi.cavallo@kaust.edu.sa.
King Abdullah University of Science and Technology · SAParthenope University of Naples · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In view of the increasing interest both in inhibitors of protein-protein interactions and in protein drugs themselves, analysis of the three-dimensional structure of protein-protein complexes is assuming greater relevance in drug design. In the many cases where an experimental structure is not available, protein-protein docking becomes the method of choice for predicting the arrangement of the complex. However, reliably scoring protein-protein docking poses is still an unsolved problem. As a consequence, the screening of many docking models is usually required in the analysis step, to possibly single out the correct ones. Here, making use of exemplary cases, we review our recently introduced methods for the analysis of protein complex structures and for the scoring of protein docking poses, based on the use of inter-residue contacts and their visualization in inter-molecular contact maps. We also show that the ensemble of tools we developed can be used in the context of rational drug design targeting protein-protein interactions.

Indexed as

Molecular Docking SimulationDrug DesignProtein BindingProteinsProteinsanalysisCAPRICOCOMAPSconsensusCONSRANKcontact mapsdocking decoysdocking modelsinterfaceinter-molecular contactsprotein-protein interactionsrankingscoringstructure prediction

Identifiers

PMID26140438
PMCPMC6332208
OpenAlexW1644470444

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.