Editorial: Machine learning for peptide structure, function, and design

Editorial: Machine learning for peptide structure, function, and design

Bibliographic Details
Main Authors:	Ruiquan Ge, Chuan Dong, Juexin Wang, Yanjie Wei
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-09-01
Series:	Frontiers in Genetics
Subjects:	machine learning functional peptides deep learning drug design peptide therapeutics
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2022.1007635/full

Similar Items

Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning
by: Jielu Yan, et al.
Published: (2022-10-01)

The dynamic landscape of peptide activity prediction
by: Oriol Bárcenas, et al.
Published: (2022-01-01)

Deep Learning for Novel Antimicrobial Peptide Design
by: Christina Wang, et al.
Published: (2021-03-01)

Therapeutic stapled peptides: Efficacy and molecular targets
by: Yulei Li, et al.
Published: (2024-05-01)

Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design
by: Chengxi Li, et al.
Published: (2022-12-01)

AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria
by: Nisha Bajiya, et al.
Published: (2024-02-01)

De novo antioxidant peptide design via machine learning and DFT studies
by: Parsa Hesamzadeh, et al.
Published: (2024-03-01)

EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides
by: Ruiquan Ge, et al.
Published: (2020-07-01)

Discovery through Machine Learning and Preclinical Validation of Novel Anti-Diabetic Peptides
by: Rory Casey, et al.
Published: (2021-03-01)

Development of peptide inhibitors of HIV transmission
by: Siyu Shi, et al.
Published: (2016-12-01)

Prediction of Antifungal Activity of Antimicrobial Peptides by Transfer Learning from Protein Pretrained Models
by: Fernando Lobo, et al.
Published: (2023-06-01)

Novel Peptide Therapeutic Approaches for Cancer Treatment
by: Caroline M. Li, et al.
Published: (2021-10-01)

Peptide–Peptide Co-Assembly: A Design Strategy for Functional Detection of C-peptide, A Biomarker of Diabetic Neuropathy
by: Kiat Hwa Chan, et al.
Published: (2020-12-01)

Editorial: Peptide-binding GPCRs coming of age
by: Antonella Di Pizio, et al.
Published: (2023-04-01)

The Spectrum of Design Solutions for Improving the Activity-Selectivity Product of Peptide Antibiotics against Multidrug-Resistant Bacteria and Prostate Cancer PC-3 Cells
by: Davor Juretić, et al.
Published: (2020-08-01)

Big peptide drugs in a small molecule world
by: Laszlo Otvos, et al.
Published: (2023-12-01)

Integration of organoids in peptide drug discovery: Rise of the high‐throughput screening
by: Siqi Zhang, et al.
Published: (2023-12-01)

ALA‐A2 Is a Novel Anticancer Peptide Inspired by Alpha‐Lactalbumin: A Discovery from a Computational Peptide Library, In Silico Anticancer Peptide Screening and In Vitro Experimental Validation
by: Tassanee Lerksuthirat, et al.
Published: (2023-03-01)

Peptide and protein design for biopharmaceutical applications /
by: Jensen, Knud J.
Published: (2009)

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
by: Phasit Charoenkwan, et al.
Published: (2022-01-01)

From Snake Venoms to Therapeutics: A Focus on Natriuretic Peptides
by: Wei Fong Ang, et al.
Published: (2022-09-01)

Geometric deep learning as a potential tool for antimicrobial peptide prediction
by: Fabiano C. Fernandes, et al.
Published: (2023-07-01)

MFPPDB: a comprehensive multi-functional plant peptide database
by: Yaozu Yang, et al.
Published: (2023-10-01)

Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning
by: Jiaqi Xu, et al.
Published: (2024-04-01)

Are peptide drugs the future of medicine?
by: Maciej Miliński, et al.
Published: (2022-08-01)

AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning
by: Milad Salem, et al.
Published: (2022-09-01)

Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides
by: Yuhong Zhao, et al.
Published: (2021-05-01)

Antiviral Peptides (AVPs) of Marine Origin as Propitious Therapeutic Drug Candidates for the Treatment of Human Viruses
by: Linda Sukmarini
Published: (2022-04-01)

Machine Learning Approaches to Modeling the Physiochemical Properties of Small Peptides
by: Jensen, Kyle, et al.
Published: (2005)

Function Prediction of Peptide Toxins with Sequence-Based Multi-Tasking PU Learning Method
by: Yanyan Chu, et al.
Published: (2022-11-01)

Biomedical applications of synthetic peptides derived from venom of animal origin: A systematic review
by: Jorge L. Díaz-Gómez, et al.
Published: (2024-01-01)

Embedded-AMP: A Multi-Thread Computational Method for the Systematic Identification of Antimicrobial Peptides Embedded in Proteome Sequences
by: Germán Meléndrez Carballo, et al.
Published: (2023-01-01)

From Mollusks to Medicine: A Venomics Approach for the Discovery and Characterization of Therapeutics from Terebridae Peptide Toxins
by: Aida Verdes, et al.
Published: (2016-04-01)

Antimicrobial peptides : in human health and disease /
by: Gallo, Richard L.
Published: (2005)

AntiDMPpred: a web service for identifying anti-diabetic peptides
by: Xue Chen, et al.
Published: (2022-06-01)

Examining the functional space of gut microbiome‐derived peptides
by: Ying‐Chiang J. Lee
Published: (2023-12-01)

Accelerating the Screening of Small Peptide Ligands by Combining Peptide-Protein Docking and Machine Learning
by: Josep-Ramon Codina, et al.
Published: (2023-07-01)

Advances in peptide-based drug delivery systems
by: Sijie Guo, et al.
Published: (2024-02-01)

Editorial: Community series in antimicrobial peptides: Molecular design, structure function relationship and biosynthesis optimization
by: Na Yang, et al.
Published: (2023-01-01)

Spider-Venom Peptides as Therapeutics
by: Glenn F. King, et al.
Published: (2010-12-01)