ML	Machine Learning
SVM	Support Vector Machine
RF	Random Forest
NN	Neural Network
LR	Linear Regression
AUC-ROC	Area Under the Receiver Operating Characteristic Curve
CNN	Convolutional Neural Network
LSTM	Long Short-Term Memory
LLM	Large Language Model
PPI	Protein–Protein Interaction
XGBOOST	eXtreme Gradient Boosting
PCA	Principal Component Analysis
PSSM	Position Specific Scoring Matrix
MNC	Mononucleotide Composition
DNC	Dinucleotide Composition
TNC	Trinucleotide Composition
AAC	Amino Acid Composition
DPC	Dipeptide Composition
TPC	Tripeptide Composition
CTD	Composition, Transition, and Distribution
CT	Conjoint Triad
AC	Auto-Covariance
CC	Cross-Covariance
DAC	Dinucleotide Auto-Covariance
TAC	Trinucleotide Auto-Covariance
DCC	Dinucleotide Cross-Covariance
TCC	Trinucleotide Cross-Covariance
DACC	Dinucleotide Auto- and Cross-Covariance
Pse-PSSM	Pseudo Position Specific Scoring Matrix
SPSSC	Split Protein Secondary Structure Composition
TS	Triplet Structure
MLM	Masked Language Modeling
PLM	Protein Language Model
GO	Gene Ontology
TAPE	Tasks Assessing Protein Embeddings
SHAP	SHapley Additive exPlanations
LIME	Local Interpretable Model-agnostic Explanations