AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree.
Adnan KhanJamal UddinFarman AliHarish KumarWajdi AlghamdiAftab AhmadPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- decision forest
- subcellular localization
- feature vectors
- low level
- high accuracy
- evolutionary computation
- phylogenetic trees
- prediction model
- protein sequences
- physicochemical properties
- genetic algorithm
- multiple sequence alignments
- protein secondary structure prediction
- drug design
- protein structure prediction
- highly accurate
- evolutionary algorithm
- feature space
- feature extraction