Mining for antimicrobial peptides in sequence space.

Fangping Wan, Cesar de la Fuente-Nunez
Author Information
  1. Fangping Wan: Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  2. Cesar de la Fuente-Nunez: Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. cfuente@upenn.edu. ORCID

Abstract

No abstract text available.

References

  1. Nat Commun. 2018 Apr 16;9(1):1490 [PMID: 29662055]
  2. Nat Biomed Eng. 2022 Jan;6(1):67-75 [PMID: 34737399]
  3. Nat Biomed Eng. 2021 Jun;5(6):613-623 [PMID: 33707779]
  4. Nat Biotechnol. 2022 Jun;40(6):921-931 [PMID: 35241840]
  5. Digit Discov. 2022 Mar 31;1(3):195-208 [PMID: 35769205]
  6. Chem Sci. 2021 Jun 7;12(26):9221-9232 [PMID: 34349895]
  7. Brief Bioinform. 2022 May 13;23(3): [PMID: 35380616]
  8. Nat Rev Drug Discov. 2021 Apr;20(4):309-325 [PMID: 33536635]

Grants

  1. R35 GM138201/NIGMS NIH HHS

MeSH Term

Antimicrobial Peptides
Antimicrobial Cationic Peptides
Amino Acid Sequence

Chemicals

Antimicrobial Peptides
Antimicrobial Cationic Peptides

Word Cloud

Created with Highcharts 10.0.0Miningantimicrobialpeptidessequencespace

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