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@ARTICLE{Scharbert:1043697,
author = {Scharbert, Lara and Strodel, Birgit},
title = {{I}nnovative strategies for modeling peptide–protein
interactions and rational peptide drug design},
journal = {Current opinion in structural biology},
volume = {93},
issn = {0959-440X},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2025-02991},
pages = {103083 -},
year = {2025},
abstract = {This review highlights cutting-edge techniques for modeling
peptide–protein interactions and advancing computer-aided
peptide–drug design. We examine significant progress in
generating peptide poses through docking and artificial
intelligence (AI), assessing peptide flexibility via
enhanced molecular dynamics simulations, and analyzing
binding interactions through free energy calculations.
Additionally, we discuss how these insights can inform the
rational design of therapeutic peptides by utilizing free
energy metrics and strategic modifications to enhance their
binding affinity and therapeutic potential. Looking forward,
further integrating AI will be crucial for optimizing
peptide design and enhancing drug development efforts.},
cin = {IBI-7},
ddc = {570},
cid = {I:(DE-Juel1)IBI-7-20200312},
pnm = {5241 - Molecular Information Processing in Cellular Systems
(POF4-524)},
pid = {G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)16},
pubmed = {40570517},
UT = {WOS:001523231900001},
doi = {10.1016/j.sbi.2025.103083},
url = {https://juser.fz-juelich.de/record/1043697},
}