Evidence map›Paper›PMID 19409097›Full record

ArticleBMC structural biology2009

PTools: an opensource molecular docking library.

Adrien Saladin, Sébastien Fiorucci, Pierre Poulain, Chantal Prévost, Martin Zacharias

Abstract read
In one paragraph

Article in BMC structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

5 authors.

Adrien SaladinComputational Biology, School of Engineering and Science, Jacobs University Bremen, 28759 Bremen, Germany. adrien.saladin@ibpc.fr
Sébastien Fiorucci
Pierre Poulain
Chantal Prévost
Martin Zacharias

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMacromolecular docking is a challenging field of bioinformatics. Developing new algorithms is a slow process generally involving routine tasks that should be found in a robust library and not programmed from scratch for every new software application.

resultsWe present an object-oriented Python/C++ library to help the development of new docking methods. This library contains low-level routines like PDB-format manipulation functions as well as high-level tools for docking and analyzing results. We also illustrate the ease of use of this library with the detailed implementation of a 3-body docking procedure.

conclusionThe PTools library can handle molecules at coarse-grained or atomic resolution and allows users to rapidly develop new software. The library is already in use for protein-protein and protein-DNA docking with the ATTRACT program and for simulation analysis. This library is freely available under the GNU GPL license, together with detailed documentation.

Indexed as

Access to InformationAlgorithmsComputational BiologyComputer SimulationDatabases, ProteinInformation Storage and RetrievalLibrariesProtein BindingProtein Interaction MappingProteinsSequence AlignmentSequence Analysis, DNASequence Analysis, ProteinSoftwareProteins

Identifiers

PMID19409097
PMCPMC2685806

What OpenQuestion holds

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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.