DrovePred:基于粒子群优化的DNA茎和BIME预测服务器

Aman Chandra Kaushik, Avinash Dhar, S. Sahi
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引用次数: 2

摘要

干细胞预测一直是生物信息学家关注的一个问题。DNA/RNA茎在原核生物和真核生物的中心规律中都起着重要的作用,并且在病毒基因组封装中也起着重要的作用,其重要性不容忽视。细菌镶嵌元件在细菌复制中起着重要的调节作用。同样,预测DNA热力学性质可以帮助我们以更好的方式操纵和理解DNA变性和再变性的动力学。粒子群优化算法(PSO)是一种基于群体智能的求解NP优化问题的重要进化算法。本文提出了一种基于粒子群算法的DNA/RNA序列、bmes和DNA热力学性质预测算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DrovePred: Server for DNA stem and BIME's prediction using Particle Swarm Optimization
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.
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