DrovePred: Server for DNA stem and BIME's prediction using Particle Swarm Optimization

Aman Chandra Kaushik, Avinash Dhar, Shakti Sahi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Stem prediction has been a problem that has attracted the attention of bioinformaticians for a long time. With important role in central dogma of prokarryotes and eukaryotes alike along with known role in viral genome encapsidation, the importance of DNA/RNA stems cannot be neglected. Bacterial interspersed Mosaic Elements known as BIMEs play an important regulatory role in bacterial replication. Similarly, predicted DNA thermodynamic properties can help us in manipulating and understanding the dynamics of DNA denaturation and renaturation in a far better manner. Particle Swarm Optimization (PSO) is an important evolutionary algorithm based on swarm intelligence to solve NP optimization problems. This paper proposes a PSO based algorithm for predicting DNA/RNA stems, BIMEs and DNA thermodynamic properties.

Original languageEnglish
Title of host publicationBSB 2016 - International Conference on Bioinformatics and Systems Biology
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781509022618
DOIs
StatePublished - 24 Aug 2016
Externally publishedYes
Event2016 International Conference on Bioinformatics and Systems Biology, BSB 2016 - Allahabad, India
Duration: 4 Mar 20166 Mar 2016

Publication series

NameBSB 2016 - International Conference on Bioinformatics and Systems Biology

Conference

Conference2016 International Conference on Bioinformatics and Systems Biology, BSB 2016
Country/TerritoryIndia
CityAllahabad
Period4/03/166/03/16

Keywords

  • BIMEs
  • DNA Stem
  • Drove
  • PSO
  • RNA

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Biochemistry
  • Biotechnology
  • Cancer Research
  • Genetics

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