Work

Machine learning antimicrobial peptide sequences: Some surprising variations on the theme of amphiphilic assembly

Year: 2018

Type: review

Source: Current Opinion in Colloid & Interface Science

DOI: 10.1016/j.cocis.2018.11.003

Authors: Michelle W. Lee, Ernest Y. Lee, Andrew L. Ferguson, Gerard C.L. Wong

Institutions: California NanoSystems Institute, University of California, Los Angeles, University of Chicago

Language: English

Topic: Antimicrobial Peptides and Activities

Subfield: Microbiology

Field: Immunology and Microbiology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, National Psoriasis Foundation, University of California, Los Angeles, National Institute of General Medical Sciences, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: G1290209800, G2612626321, G3256247363, G3524640117, G3589993799, G4091009052, UCLA-Caltech Medical Scientist Training Program, G589664268, G6387359093, G6826340876, G7084925988, Systems in Integrative Biology, G8661564508, Programming innate immune responses using glycomimetic macromolecular complexes, Dermatology Scientist Training Program

OpenAlex ID: W2901377897

FWCI: 0.536

Cites: 146

Cited by: 22

Related to: 10