Overview
Protein structure prediction is a technique used in computational biology and bioinformatics to predict the three-dimensional structure of a protein from its amino acid sequence. This technique is essential for understanding the function of proteins and the interactions between them, and is used in drug design and the development of biotechnological applications. Protein structure prediction is based on physical and biochemical principles and computer algorithms. Through the identification of functional sites, such as binding sites and catalytic sites, and the geometrical details of the protein, structure prediction can provide insights into the structure-function relationship of proteins.
Research published in this journal
4 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Dimerization of the BASIC PENTACYSTEINE Domain in Plant GAGA-Factors is Mediated by Disulfide Bonds and Required for DNA-Binding.
Human Proteome Project and Current Bioinformatics Status in Disease Diagnosis and Treatment
Molecular Analysis of 6-pyruvoyltetrahydropterin Synthase Gene in Atypical Phenylketonuric Egyptian Patients
How this research is being cited
The 4 articles above have been cited 22 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2026 · Frontiers in Plant Science
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2026 · Bulletin of Biological and Allied Sciences Research
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Shuai Zhang et al. · 2023 · Plant Stress
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A. Sahu et al. · 2023 · Planta
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2023 · Planta
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2023 · Plant Stress
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2022 · JURNAL BIOLOGI TROPIS
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2022 · SSRN Electronic Journal
A sample of recent works citing this journal's research on Protein Structure Prediction, linking to each citing work.