About this Research Topic
Peptides wear different kinds of hats in biopharmaceuticals, nutraceuticals, host defense mechanisms, cell penetration, immunogenic reactions, etc. Furthermore, peptides have become attractive therapeutic agents and have also been exploited as drug delivery vehicles. With such vast utility and translational potential, the peptide market is estimated at $25 billions in 2018.
A number of repositories, analysis resources and algorithms have been developed aligning with the different aspects of peptides, which range from their therapeutic (anti-microbial or anti-cancer) nature to drug delivering properties. On the other hand, immune responses mediated through peptides have paved the way for synthetic vaccine design and immunotherapy against infectious diseases and neoepitopes are being investigated for cancer. Interestingly, new studies suggest that one single peptide sequence can display more than one property.
As the peptide informatics field moves forward, it brings many opportunities and also opens up new challenges for data analytics and algorithm development. This Research Topic invites outstanding research and review articles to recognize the contribution of peptides informatics in biomedical science. This collection includes but is not limited to the following research categories:
1) Peptide resources/databases (therapeutics, diagnostics, neoepitopes etc.)
2) Machine learning/Deep learning based efficient designing of peptide-based drugs
3) Peptide modifications for non-natural amino acids
4) Epitope predictions and analysis tools
5) Moonlighting peptides
6) Screening of therapeutic peptides from next generation sequencing
7) Computational designing of drug delivery peptides
Sandeep Kumar Dhanda serves as a scientific advisor board member to Kiromic Inc. The company works in Cancer immuno-oncology projects.
Keywords: peptide informatics, peptide moonlighting, peptide therapeutics, peptides
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