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HADDAD, Y A E. -- ADAM, V. -- HEGER, Z. Ten quick tips for homology modeling of high-resolution protein 3D structures. PLoS Computational Biology. 2020. v. 16, no. 4, ISSN 1553-734X. URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007449

Original name: Ten quick tips for homology modeling of high-resolution protein 3D structures
Czech name:
Written by (author):
Department:
Department of Chemistry and Biochemistry
Kind of publication:
article in a professional periodical
Periodical:
PLoS Computational Biology
Nature of article: paper
Volume no. (year): 16
Periodical number within the volume:
4
Year of publication:
2020
Starting page:
Up to page:
Number of pages:
19
Sub-specification:
článek je obsažen v databázi Web of Science
UT code by Web of Science:
EID code by Scopus:
Form of publication:
printed version
Original language:
English
Description in original language:
The purpose of this quick guide is to help new modelers who have little or no background in comparative modeling yet are keen to produce high-resolution protein 3D structures for their study by following systematic good modeling practices, using affordable personal computers or online computational resources. Through the available experimental 3D-structure repositories, the modeler should be able to access and use the atomic coordinates for building homology models. We also aim to provide the modeler with a rationale behind making a simple list of atomic coordinates suitable for computational analysis abiding to principles of physics (e.g., molecular mechanics). Keeping that objective in mind, these quick tips cover the process of homology modeling and some postmodeling computations such as molecular docking and molecular dynamics (MD). A brief section was left for modeling nonprotein molecules, and a short case study of homology modeling is discussed.
Description in English:
Description in Czech:
Year of submission:
2020
Year of transmission:
RIV identification number:
URL:
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007449
 
Entry made by:
Last change:
04/16/2020 16:53 (Šárka Novotná)

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Source specification:

PLoS Computational Biology. San Francisco: ISSN 1553-734X.

Original name:
PLoS Computational Biology
Czech name:
Written by (author):
Kind of publication:
magazine
ISSN:
1553-734X
Country of publisher:
United States of America
Place of publishing:
San Francisco
Publisher:
Public Library of Science
URL:
https://journals.plos.org/ploscompbiol/
Reviewed magazine:
no
Original language:
English
Description in original language:
Description in English:
Description in Czech:
 
Entry made by:
Last change:
04/16/2020 16:53 (Šárka Novotná)

Evaluation of publication:

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