TY - CHAP
T1 - How to Design Peptides
AU - Dodd-o, Joseph
AU - Acevedo-Jake, Amanda M.
AU - Azizogli, Abdul Rahman
AU - Mulligan, Vikram Khipple
AU - Kumar, Vivek A.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - Novel design of proteins to target receptors for treatment or tissue augmentation has come to the fore owing to advancements in computing power, modeling frameworks, and translational successes. Shorter proteins, or peptides, can offer combinatorial synergies with dendrimer, polymer, or other peptide carriers for enhanced local signaling, which larger proteins may sterically hinder. Here, we present a generalized method for designing a novel peptide. We first show how to create a script protocol that can be used to iteratively optimize and screen novel peptide sequences for binding a target protein. We present a step-by-step introduction to utilizing file repositories, data bases, and the Rosetta software suite. RosettaScripts, an.xml interface that allows for sequential functions to be performed, is used to order the functions for repeatable performance. These strategies may lead to more groups venturing into computational design, which may result in synergies from artificial intelligence/machine learning (AI/ML) to phage display and screening. Importantly, the beginner is expected to be able to design their first peptide ligand and begin their journey in peptide drug discovery. Generally, these peptides potentially could be used to interact with any enzyme or receptor, for example, in the study of chemokines and their interactions with glycosoaminoglycans and their receptors.
AB - Novel design of proteins to target receptors for treatment or tissue augmentation has come to the fore owing to advancements in computing power, modeling frameworks, and translational successes. Shorter proteins, or peptides, can offer combinatorial synergies with dendrimer, polymer, or other peptide carriers for enhanced local signaling, which larger proteins may sterically hinder. Here, we present a generalized method for designing a novel peptide. We first show how to create a script protocol that can be used to iteratively optimize and screen novel peptide sequences for binding a target protein. We present a step-by-step introduction to utilizing file repositories, data bases, and the Rosetta software suite. RosettaScripts, an.xml interface that allows for sequential functions to be performed, is used to order the functions for repeatable performance. These strategies may lead to more groups venturing into computational design, which may result in synergies from artificial intelligence/machine learning (AI/ML) to phage display and screening. Importantly, the beginner is expected to be able to design their first peptide ligand and begin their journey in peptide drug discovery. Generally, these peptides potentially could be used to interact with any enzyme or receptor, for example, in the study of chemokines and their interactions with glycosoaminoglycans and their receptors.
KW - Bioactive peptide
KW - Peptide design
KW - Peptide inhibitors
KW - Peptide ligand
KW - Peptide–protein interaction
KW - Rosetta scripts
UR - http://www.scopus.com/inward/record.url?scp=85141936986&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141936986&partnerID=8YFLogxK
U2 - 10.1007/978-1-0716-2835-5_15
DO - 10.1007/978-1-0716-2835-5_15
M3 - Chapter
C2 - 36374423
AN - SCOPUS:85141936986
T3 - Methods in Molecular Biology
SP - 187
EP - 216
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -