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Latest Review Papers in Molecular Informatics 2024

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 1506

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Guest Editor
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
Interests: protein informatics; peptide sequence analysis; machine learning application in biological macromolecular data; biomarker; protein post-translational modification site; systems biology; clinical data analysis; disease risk prediction; analysis and identification of DNA regulatory element
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Special Issue Information

Dear Colleagues,

This Special Issue aims to collect high-quality review papers in all the fields of molecular informatics. We encourage researchers from related fields to contribute review papers that highlight the latest developments in molecular informatics or to invite relevant experts and colleagues to do so. Full-length comprehensive reviews will be preferred.

Prof. Dr. Hao Lin
Guest Editor

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Keywords

  • drug discovery and chemical biology
  • protein and nucleic acid engineering and design
  • the design of nanomolecular structures
  • strategies for modeling of macromolecular assemblies
  • molecular networks and systems
  • pharmaco- and chemogenomics
  • chemical information systems, toolboxes and software packages
  • database construction, web-based platforms and tools and novel algorithms
  • computer-aided drug design
  • QSAR, QSPR, and data mining techniques
  • molecular docking and virtual screening
  • molecular modeling
  • molecular dynamics simulations
  • free energy calculations
  • genome assembling, annotation, and integrated analysis
  • comparative genomics
  • sequence analysis
  • analysis and modelling of complex systems

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Published Papers (1 paper)

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Review

23 pages, 1460 KiB  
Review
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
by Shanghua Liu, Tianyu Shi, Junwen Yu, Rui Li, Hao Lin and Kejun Deng
Int. J. Mol. Sci. 2024, 25(18), 9844; https://doi.org/10.3390/ijms25189844 - 12 Sep 2024
Viewed by 1103
Abstract
Bitter peptides are small molecular peptides produced by the hydrolysis of proteins under acidic, alkaline, or enzymatic conditions. These peptides can enhance food flavor and offer various health benefits, with attributes such as antihypertensive, antidiabetic, antioxidant, antibacterial, and immune-regulating properties. They show significant [...] Read more.
Bitter peptides are small molecular peptides produced by the hydrolysis of proteins under acidic, alkaline, or enzymatic conditions. These peptides can enhance food flavor and offer various health benefits, with attributes such as antihypertensive, antidiabetic, antioxidant, antibacterial, and immune-regulating properties. They show significant potential in the development of functional foods and the prevention and treatment of diseases. This review introduces the diverse sources of bitter peptides and discusses the mechanisms of bitterness generation and their physiological functions in the taste system. Additionally, it emphasizes the application of bioinformatics in bitter peptide research, including the establishment and improvement of bitter peptide databases, the use of quantitative structure–activity relationship (QSAR) models to predict bitterness thresholds, and the latest advancements in classification prediction models built using machine learning and deep learning algorithms for bitter peptide identification. Future research directions include enhancing databases, diversifying models, and applying generative models to advance bitter peptide research towards deepening and discovering more practical applications. Full article
(This article belongs to the Special Issue Latest Review Papers in Molecular Informatics 2024)
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