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Peptide and Protein Interaction Prediction and Intervention with Computational Methods

  • Newsha Fallah
  • Saeed Siavashy
  • Nasim Ghaemian
  • Farshad Bahramian
  • Fatemeh Ghorbani-Bidkorbeh

Trends in Peptide and Protein Sciences, Vol. 2 No. 1 (2017), 1 January 2018 , Page 8-14
https://doi.org/10.22037/tpps.v2i1.19412 Published: 2018-02-05

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Abstract

Proteins are the most fascinating multifaceted biomacromolecules in living systems and play various important roles such as structural, sensory, catalytic, and regulatory function. Protein and peptide interactions have emerged as an important and challenging topic in
biochemistry and medicinal chemistry. Computational methods as promising tools have been utilized to predict protein and peptide interactions in order to intervene in the biochemical processes and facilitate pharmaceutical peptide design and clarify the complications. This review will introduce the computational methods which are applicable in protein and peptide interaction prediction and summarizes the most successful examples of computational methods described in the literature.

HIGHLIGHTS
•Highlights the importance of peptides and proteins interactions.
•Summarizes the computational methods which are applicable in peptide and protein interaction prediction.
•Highlights the applications of computational methods in peptides and proteins interactions.

Keywords:
  • Peptides and Proteins
  • Computational Methods
  • Simulation
  • Interaction Prediction
  • PDF

How to Cite

1.
Fallah N, Siavashy S, Ghaemian N, Bahramian F, Ghorbani-Bidkorbeh F. Peptide and Protein Interaction Prediction and Intervention with Computational Methods. Trends Pept. Protein Sci. [Internet]. 2018 Feb. 5 [cited 2026 Jul. 28];2(1):8-14. Available from: https://journals.sbmu.ac.ir/protein/article/view/19412
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All open-access articles of TPPS are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Journal Name:

Trends in Peptide and Protein Sciences (TPPS)

Journal Abbreviation:

Trends Pept. Protein Sci.

eISSN:

2538-2446

 

 

 

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