The dynamic landscape of peptide activity prediction
Peptides are known to possess a plethora of beneficial properties and activities: antimicrobial, anticancer, anti-inflammatory or the ability to cross the blood–brain barrier are only a few examples of their functional diversity. For this reason, bioinformaticians are constantly developing and upgra...
Main Authors: | Oriol Bárcenas, Carlos Pintado-Grima, Katarzyna Sidorczuk, Felix Teufel, Henrik Nielsen, Salvador Ventura, Michał Burdukiewicz |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-01-01
|
Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037022005384 |
Similar Items
-
CancerGram: An Effective Classifier for Differentiating Anticancer from Antimicrobial Peptides
by: Michał Burdukiewicz, et al.
Published: (2020-10-01) -
Proteomic Screening for Prediction and Design of Antimicrobial Peptides with AmpGram
by: Michał Burdukiewicz, et al.
Published: (2020-06-01) -
Testing Antimicrobial Properties of Selected Short Amyloids
by: Przemysław Gagat, et al.
Published: (2023-01-01) -
Editorial: Machine learning for peptide structure, function, and design
by: Ruiquan Ge, et al.
Published: (2022-09-01) -
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)