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Computational Modeling of Peptide–Aptamer Binding

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Computational Peptidology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1268))

Abstract

Evolution is the progressive process that holds each living creature in its grasp. From strands of DNA evolution shapes life with response to our ever-changing environment and time. It is the continued study of this most primitive process that has led to the advancement of modern biology. The success and failure in the reading, processing, replication, and expression of genetic code and its resulting biomolecules keep the delicate balance of life. Investigations into these fundamental processes continue to make headlines as science continues to explore smaller scale interactions with increasing complexity. New applications and advanced understanding of DNA, RNA, peptides, and proteins are pushing technology and science forward and together. Today the addition of computers and advances in science has led to the fields of computational biology and chemistry. Through these computational advances it is now possible not only to quantify the end results but also visualize, analyze, and fully understand mechanisms by gaining deeper insights. The biomolecular motion that exists governing the physical and chemical phenomena can now be analyzed with the advent of computational modeling. Ever-increasing computational power combined with efficient algorithms and components are further expanding the fidelity and scope of such modeling and simulations. This chapter discusses computational methods that apply biological processes, in particular computational modeling of peptide–aptamer binding.

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Acknowledgments

This work was supported in part by the U. S. Army Research Office via award/contract no. W911NF-11-1-0168. We thank Dr. M. Sandros for scientific discussions during the course of this work.

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Authors and Affiliations

  1. Department of Nanoengineering, Joint School of Nanoscience and Nanoengineering, North Carolina A&T State University, 2907 E. Lee Street, Greensboro, NC, 27401, USA

    Kristen L. Rhinehardt, Ram V. Mohan & Goundla Srinivas

Authors
  1. Kristen L. Rhinehardt
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  2. Ram V. Mohan
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  3. Goundla Srinivas
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Correspondence to Ram V. Mohan .

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Editors and Affiliations

  1. Center of Bioinformatics (COBI), School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China

    Peng Zhou

  2. Center of Bioinformatics (COBI), School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China

    Jian Huang

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Rhinehardt, K.L., Mohan, R.V., Srinivas, G. (2015). Computational Modeling of Peptide–Aptamer Binding. In: Zhou, P., Huang, J. (eds) Computational Peptidology. Methods in Molecular Biology, vol 1268. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2285-7_14

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  • DOI: https://doi.org/10.1007/978-1-4939-2285-7_14

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-2284-0

  • Online ISBN: 978-1-4939-2285-7

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