Reprint
Advances in Peptide and Peptidomimetic Design Inspiring Basic Science and Drug Discovery
A Themed Issue Honoring Professor Victor J. Hruby on the Occasion of His 80th Birthday
Edited by
March 2020
406 pages
- ISBN978-3-03928-288-3 (Paperback)
- ISBN978-3-03928-289-0 (PDF)
This book is a reprint of the Special Issue Advances in Peptide and Peptidomimetic Design Inspiring Basic Science and Drug Discovery: A Themed Issue Honoring Professor Victor J. Hruby on the Occasion of His 80th Birthday that was published in
Chemistry & Materials Science
Medicine & Pharmacology
Summary
Advances in Peptide and Peptidomimetic Design Inspiring Basic Science and Drug Discovery is a book dedicated to Prof. Victor J. Hruby on the occasion of his 80th birthday. This book includes twenty contributions from authors representing diverse multidisciplinary fields of scientific expertise, and is focused on the extraordinary potential of peptides and peptidomimetics as a surging therapeutic modality and as tools for basic research and technology development.
Format
- Paperback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
MC3R; MC4R; mixed pharmacology; tetrapeptides; melanocortins; Plk1; selectivity; polo-box domain; peptide; triazole; PKA; stapled peptide; PKI; pseudosubstrate; kinase inhibitor; IP20; polycationic -amino acids; small antimicrobial peptides; sepsis; peptidomimetics; VEGF165; neuropilin-1; molecular dynamics; structure–activity relationship; OBOC; combinatorial chemistry; opioid; drug screen; molecular rotor dye; high throughput screening; sensor chip; peptide; peptide-drug conjugate; mixed-mode pharmacology; GLP-1; GnRH; LHRH; chemical linker; cancer; diabetes; obesity; drug discovery; melanocortin-4 receptor; obesity; peptide agonist; cardiovascular profile; GαS signaling; receptor desensitization; receptor internalization; peptidomimetics; azapeptides; aza-amino acids; β-hairpin; β-sheet; programmed cell death ligand protein 1; pharmacophore; peptide; small molecule; anticancer peptide; therapeutic peptides; support vector machine; random forest; machine learning; classification; peptides; endosomolytic; amphiphilic; fusogenic; influenza hemagglutinin; RBC lysis; peptide permeability; stapled peptide; macrocyclic peptide; D-amino acid; helix-breaker; adaptogenic; autophagy; β-ginkgotide; cytoprotective; cysteine-rich peptides; disulfide-rich scaffold; hyperdisulfide; hypoxia; LIR motif; ginkgo nuts; α-helix mimetics; bis-benzamide scaffold; protein–protein interaction; prostate cancer; androgen receptor; coactivator PELP1; Ranalexin; peptide therapeutics; antibiotics; configuration; antimicrobial activity; cancer vaccine; synthetic vaccine; adjuvant; Toll-like receptor; Pam2Cys; N-acetylated Pam2Cys; bioconjugation; lipidation; prostaglandin F2α; preterm labor; myometrium contractions; peptidomimetic; structure-activity; opioids; multifunctional ligands; peptide design; free energy calculation; d-amino acid scan; alanine scan