Cargando…
Computational Peptide Discovery with a Genetic Programming Approach
BACKGROUND: The development of peptides for therapeutic targets or biomarkers for disease diagnosis is a challenging task in protein engineering. Current approaches are tedious, often time-consuming and require complex laboratory data due to the vast search space. In silico methods can accelerate re...
Autores principales: | Scalzitti, Nicolas, Miralavy, Iliya, Korenchan, David E., Farrar, Christian T., Gilad, Assaf A., Banzhaf, Wolfgang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491332/ https://www.ncbi.nlm.nih.gov/pubmed/37693481 http://dx.doi.org/10.21203/rs.3.rs-3307450/v1 |
Ejemplares similares
-
Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides
por: Fillion, Adam J., et al.
Publicado: (2023) -
Emerging Computational Approaches for Antimicrobial Peptide Discovery
por: Agüero-Chapin, Guillermin, et al.
Publicado: (2022) -
Time and Individual Duration in Genetic Programming
por: Fernandez de Vega, Francisco, et al.
Publicado: (2020) -
A 2022 Update on Computational Approaches to the Discovery and Design of Antimicrobial Peptides
por: Agüero-Chapin, Guillermin, et al.
Publicado: (2023) -
New approaches for the neuroimaging of gene expression
por: Gilad, Assaf A., et al.
Publicado: (2015)