RNA tertiary structure modeling with BRiQ potential in CASP15.


Journal

Proteins
ISSN: 1097-0134
Titre abrégé: Proteins
Pays: United States
ID NLM: 8700181

Informations de publication

Date de publication:
Dec 2023
Historique:
revised: 22 06 2023
received: 15 04 2023
accepted: 08 08 2023
medline: 27 11 2023
pubmed: 28 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

We describe the modeling method for RNA tertiary structures employed by team AIchemy_RNA2 in the 15th Critical Assessment of Structure Prediction (CASP15). The method consists of the following steps. Firstly, secondary structure information was derived from various manually-verified sources. With this information, the full length RNA was fragmented into structural modules. The structures of each module were predicted and then assembled into the full structure. To reduce the searching conformational space, an RNA structure was organized into an optimal base folding tree. And to further improve the sampling efficiency, the energy surface was smoothed at high temperatures during the Monte Carlo sampling to make it easier to move across the energy barrier. The statistical potential energy function BRiQ was employed during Monte Carlo energy optimization.

Identifiants

pubmed: 37638558
doi: 10.1002/prot.26574
doi:

Substances chimiques

RNA 63231-63-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1771-1778

Subventions

Organisme : National Key Research and Development Program of China(NO.2021YFF1200400)
Organisme : Shanghai Zelixir Biotech Co. Ltd
Organisme : Shenzhen Science and Technology Program [KQTD20170330155106581]
Organisme : the Major Program of Shenzhen Bay Laboratory S201101001

Informations de copyright

© 2023 Wiley Periodicals LLC.

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Auteurs

Ke Chen (K)

University of Science and Technology of China, Hefei, China.
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China.

Yaoqi Zhou (Y)

Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, China.

Sheng Wang (S)

Shanghai Zelixir Biotech Co. Ltd, Shanghai, China.

Peng Xiong (P)

University of Science and Technology of China, Hefei, China.
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China.

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