Literature DB >> 26593011

Dynamics in Sequence Space for RNA Secondary Structure Design.

Marco C Matthies1, Stefan Bienert1,2, Andrew E Torda1.   

Abstract

We have implemented a method for the design of RNA sequences that should fold to arbitrary secondary structures. A popular energy model allows one to take the derivative with respect to composition, which can then be interpreted as a force and used for Newtonian dynamics in sequence space. Combined with a negative design term, one can rapidly sample sequences which are compatible with a desired secondary structure via simulated annealing. Results for 360 structures were compared with those from another nucleic acid design program using measures such as the probability of the target structure and an ensemble-weighted distance to the target structure.

Year:  2012        PMID: 26593011     DOI: 10.1021/ct300267j

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  8 in total

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

Authors:  Swati Jain; Yunwen Tao; Tamar Schlick
Journal:  J Struct Biol       Date:  2019-12-23       Impact factor: 2.867

2.  Principles for Predicting RNA Secondary Structure Design Difficulty.

Authors:  Jeff Anderson-Lee; Eli Fisker; Vineet Kosaraju; Michelle Wu; Justin Kong; Jeehyung Lee; Minjae Lee; Mathew Zada; Adrien Treuille; Rhiju Das
Journal:  J Mol Biol       Date:  2016-02-17       Impact factor: 5.469

3.  An extended dual graph library and partitioning algorithm applicable to pseudoknotted RNA structures.

Authors:  Swati Jain; Sera Saju; Louis Petingi; Tamar Schlick
Journal:  Methods       Date:  2019-03-27       Impact factor: 3.608

4.  A pipeline for computational design of novel RNA-like topologies.

Authors:  Swati Jain; Alain Laederach; Silvia B V Ramos; Tamar Schlick
Journal:  Nucleic Acids Res       Date:  2018-08-21       Impact factor: 16.971

5.  Solving the RNA design problem with reinforcement learning.

Authors:  Peter Eastman; Jade Shi; Bharath Ramsundar; Vijay S Pande
Journal:  PLoS Comput Biol       Date:  2018-06-21       Impact factor: 4.475

6.  EternaBrain: Automated RNA design through move sets and strategies from an Internet-scale RNA videogame.

Authors:  Rohan V Koodli; Benjamin Keep; Katherine R Coppess; Fernando Portela; Rhiju Das
Journal:  PLoS Comput Biol       Date:  2019-06-27       Impact factor: 4.475

7.  Repurposing tRNAs for nonsense suppression.

Authors:  Suki Albers; Bertrand Beckert; Marco C Matthies; Chandra Sekhar Mandava; Raphael Schuster; Carolin Seuring; Maria Riedner; Suparna Sanyal; Andrew E Torda; Daniel N Wilson; Zoya Ignatova
Journal:  Nat Commun       Date:  2021-06-22       Impact factor: 14.919

8.  Multi-objective optimization for RNA design with multiple target secondary structures.

Authors:  Akito Taneda
Journal:  BMC Bioinformatics       Date:  2015-09-03       Impact factor: 3.169

  8 in total

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