Inverse folding with RNA-As-Graphs produces a large pool of candidate sequences with target topologies.

Jain, Swati; Tao, Yunwen; Schlick, Tamar

Jain, Swati; Tao, Yunwen; Schlick, Tamar.

Afiliação

Jain S; Department of Chemistry, New York University, 1021 Silver, 100 Washington Square East, New York, NY 10003, USA.
Tao Y; Department of Chemistry, New York University, 1021 Silver, 100 Washington Square East, New York, NY 10003, USA.
Schlick T; Department of Chemistry, New York University, 1021 Silver, 100 Washington Square East, New York, NY 10003, USA; Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA; NYU-ECNU Center for Computational Chemistry at New York University Shanghai, Room 340, Geography Building, North Zhongshan Road, 3663 Shanghai, China. Electronic address: schlick@nyu.edu.

J Struct Biol ; 209(3): 107438, 2020 03 01.

Article em En | MEDLINE | ID: mdl-31874236

Assuntos

Biologia Computacional/métodos; Conformação de Ácido Nucleico; RNA/ultraestrutura; Algoritmos; Modelos Moleculares; Mutação/genética; RNA/química; RNA/genética

Palavras-chave

Automatic mutations; Genetic algorithm; RNA As Graphs; RNA sequence design; RNA-like topology

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: RNA / Biologia Computacional / Conformação de Ácido Nucleico Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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