Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method Using Automatic Template Search

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194574" target="_blank" >RIV/68407700:21230/12:00194574 - isvavai.cz</a>

Result on the web

<a href="http://www.biomedcentral.com/content/pdf/1471-2105-13-S10-S3.pdf13" target="_blank" >http://www.biomedcentral.com/content/pdf/1471-2105-13-S10-S3.pdf13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/1471-2105-13-S10-S3" target="_blank" >10.1186/1471-2105-13-S10-S3</a>

Result language

angličtina

Original language name

Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method Using Automatic Template Search

Original language description

We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-of-the-art methods based on constructing an ad-hoc set of features describing physicochemical properties of the proteins, the ball-histogram technique enables a systematic, Monte-Carlo exploration of the spatial distribution of amino acids complying with automatically selected properties. This exploration yields a model for the prediction of DNA binding propensity. We validate our method in prediction experiments, improving on state-of-the-art accuracies. Moreover, our method also provides interpretable features involving spatial distributions of selected amino acids.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/ME10047" target="_blank" >ME10047: Predictive Data Modeling for Effective Gene Therapy and Bone Marrow Transplantation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMC Bioinformatics

ISSN

1471-2105

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

Suppl 10

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

1-11

UT code for WoS article

000306140100003

EID of the result in the Scopus database

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