AZoLifeSciences on MSN2d
Machine Learning Applications in Predicting Protein Structures
Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...
The Chronicle4d
Duke researcher helps develop large language model to predict antibody structures, support disease prevention
A study published in December by Duke professor Rohit Singh and his team proposes a new computational model called antibody ...
Enzymes are the engines of life—machine learning could help scientists design new ones
Enzymes are molecular machines that carry out the chemical reactions that sustain all life, an ability that has captured the ...
Frontiers15d
Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies
A key aspect of PID diagnosis is identifying specific amino acid substitutions in the proteins related with heritable diseases. In this study, we have developed classification ...
Nature25d
Fatty acids articles from across Nature Portfolio
Fatty acids are organic acids with at least one carboxyl (-C(=O)OH, -COOH or -CO2H) group and a long carbon chain that can be joined by double bonds, as in unsaturated fatty acids, or single bonds ...
Monash University27d
Molecular Homology
Source: LabXchange 2019 Molecular Homology compares DNA sequences and amino acid sequences between species to determine relatedness. This information can be represented as a phylogenetic tree that ...
C&EN29d
Journal of the American Chemical Society
Department of Chemistry and Biochemistry, University of California Santa Barbara, Santa Barbara, California 93106, United States Biomolecular Science and Engineering Program, University of California ...