APTANI2: update of aptamer selection through sequence-structure analysis

Author:

Caroli Jimmy1,Forcato Mattia1,Bicciato Silvio1ORCID

Affiliation:

1. Department of Life Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy

Abstract

Abstract Summary Here we present APTANI2, an expanded and optimized version of APTANI, a computational tool for selecting target-specific aptamers from high-throughput-Systematic Evolution of Ligands by Exponential Enrichment data through sequence-structure analysis. As compared to its original implementation, APTANI2 ranks aptamers and identifies relevant structural motifs through the calculation of a score that combines frequency and structural stability of each secondary structure predicted in any aptamer sequence. In addition, APTANI2 comprises modules for a deeper investigation of sequence motifs and secondary structures, a graphical user interface that enhances its usability, and coding solutions that improve performances. Availability and implementation Source code, documentation and example command lines can be downloaded from http://aptani.unimore.it. APTANI2 is implemented in Python 3.4, released under the GNU GPL3.0 License, and compatible with Linux, Mac OS and the MS Windows subsystem for Linux. Supplementary information Supplementary information is available at Bioinformatics online

Funder

Italian Ministry of Education, University and Research

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference15 articles.

1. APTANI: a computational tool to select aptamers through sequence-structure motif analysis of HT-SELEX data;Caroli;Bioinformatics,2016

2. AptaTRACE elucidates RNA sequence-structure motifs from selection trends in HT-SELEX experiments;Dao;Cell Syst,2016

3. VARNA: interactive drawing and editing of the RNA secondary structure;Darty;Bioinformatics,2009

4. AptaSUITE: a full-featured bioinformatics framework for the comprehensive analysis of aptamers from HT-SELEX experiments;Hoinka;Mol. Ther. Nucleic Acids,2018

5. Identification of sequence-structure RNA binding motifs for SELEX-derived aptamers;Hoinka;Bioinformatics,2012

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