Evidence map›Paper›PMID 23953065›Full record

ArticleJournal of cheminformatics2013

MOLE 2.0: advanced approach for analysis of biomacromolecular channels.

David Sehnal, Radka Svobodová Vařeková, Karel Berka, Lukáš Pravda, Veronika Navrátilová, Pavel Banáš, Crina-Maria Ionescu, Michal Otyepka, Jaroslav Koča

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Article in Journal of cheminformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.

0numbers the graph read from it
0cells of the map it votes in
165citing 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

165 citing papers in PubMed.

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  20. Structure of the yeast ceramide synthase.Nature structural & molecular biology · 2025
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105 more citing papers are in PubMed but not listed here.

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

9 authors.

David SehnalNational Centre for Biomolecular Research, Faculty of Science and CEITEC-Central European Institute of Technology, Masaryk University Brno, Kamenice 5, 625 00 Brno-Bohunice, Czech Republic. michal.otyepka@upol.cz.
Radka Svobodová Vařeková
Karel Berka
Lukáš Pravda
Veronika Navrátilová
Pavel Banáš
Crina-Maria Ionescu
Michal Otyepka
Jaroslav Koča

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChannels and pores in biomacromolecules (proteins, nucleic acids and their complexes) play significant biological roles, e.g., in molecular recognition and enzyme substrate specificity.

resultsWe present an advanced software tool entitled MOLE 2.0, which has been designed to analyze molecular channels and pores. Benchmark tests against other available software tools showed that MOLE 2.0 is by comparison quicker, more robust and more versatile. As a new feature, MOLE 2.0 estimates physicochemical properties of the identified channels, i.e., hydropathy, hydrophobicity, polarity, charge, and mutability. We also assessed the variability in physicochemical properties of eighty X-ray structures of two members of the cytochrome P450 superfamily.

conclusionEstimated physicochemical properties of the identified channels in the selected biomacromolecules corresponded well with the known functions of the respective channels. Thus, the predicted physicochemical properties may provide useful information about the potential functions of identified channels. The MOLE 2.0 software is available at http://mole.chemi.muni.cz.

Identifiers

PMID23953065
PMCPMC3765717

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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.