Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways

Record type:

paper

Creator:

CadSaaSyrGon

Editor:

DynLabProIns

Publisher:

CCSDFro

Host:

International audience

Visit

amu.hal.science

Licenses

http://creativecommons.org/licenses/by/info:eu-repo/semantics/OpenAccess

Structure-function relationships of brazzein, a sweet-tasting protein and its interactions with the human sweet taste receptor

International audience Brazzein is a small heat- and pH-stable sweet-tasting protein

Machine Learning Approaches for Protein Structure Prediction in Tropical Diseases

This commentary critically examines the intersection of computational biology and public he

Genetic relationships and heterotic structure of quality protein maize (Zea mays L.) inbred lines adapted to eastern and southern Africa

Editorial: Legal-Technical Governance and Regulation of Artificial Intelligence in Africa

This editorial introduces the special issue on the legal-technical governance and regulation of arti

Machine learning and deep learning approaches to model in vitro inflammatory responses of nanofibers scaffolds in tissue engineering

Machine learning and deep learning approaches to model in vitro inflammatory responses of nanofibers scaffolds in tissue engineering

Poster presented at the Deep Learning Indaba 2023 by Lakshmi SUJEEUN

Software Engineering for Machine Learning in Health Informatics

Abstract Background We propose a novel framework for health Informatics: framework and met