FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00081399" target="_blank" >RIV/00216224:14310/15:00081399 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26230/15:PU122821

Výsledek na webu

<a href="http://loschmidt.chemi.muni.cz/peg/wp-content/uploads/2015/11/Bednar_2015ploscb1.pdf" target="_blank" >http://loschmidt.chemi.muni.cz/peg/wp-content/uploads/2015/11/Bednar_2015ploscb1.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pcbi.1004556" target="_blank" >10.1371/journal.pcbi.1004556</a>

Jazyk výsledku

angličtina

Název v původním jazyce

FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants

Popis výsledku v původním jazyce

There is great interest in increasing proteins? stability to enhance their utility as biocatalysts, therapeutics, diagnostics and nanomaterials. Directed evolution is a powerful, but experimentally strenuous approach. Computational methods offer attractive alternatives. However, due to the limited reliability of predictions and potentially antagonistic effects of substitutions, only single-point mutations are usually predicted in silico, experimentally verified and then recombined in multiple-point mutants. Thus, substantial screening is still required. Here we present FireProt, a robust computational strategy for predicting highly stable multiple-point mutants that combines energy- and evolution-based approaches with smart filtering to identify additive stabilizing mutations. FireProt?s reliability and applicability was demonstrated by validating its predictions against 656 mutations from the ProTherm database.

Název v anglickém jazyce

FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants

Popis výsledku anglicky

There is great interest in increasing proteins? stability to enhance their utility as biocatalysts, therapeutics, diagnostics and nanomaterials. Directed evolution is a powerful, but experimentally strenuous approach. Computational methods offer attractive alternatives. However, due to the limited reliability of predictions and potentially antagonistic effects of substitutions, only single-point mutations are usually predicted in silico, experimentally verified and then recombined in multiple-point mutants. Thus, substantial screening is still required. Here we present FireProt, a robust computational strategy for predicting highly stable multiple-point mutants that combines energy- and evolution-based approaches with smart filtering to identify additive stabilizing mutations. FireProt?s reliability and applicability was demonstrated by validating its predictions against 656 mutations from the ProTherm database.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CE - Biochemie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

PLOS COMPUTATIONAL BIOLOGY

ISSN

1553-734X

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

"nestrankovano"

Kód UT WoS článku

000365801600026

EID výsledku v databázi Scopus

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