Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR

RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models

BIND: Large-Scale Biological Interaction Network Discovery through Knowledge Graph-Driven Machine Learning

ProSol-multi: Protein solubility prediction via amino acids multi-level correlation and discriminative distribution

CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder

Long extrachromosomal circular DNA identification by fusing sequence-derived features of physicochemical properties and nucleotide distribution patterns

RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles

CTD-Global (CTD-G): A novel composition, transition, and distribution based peptide sequence encoder for hormone peptide prediction

Survival Prediction Landscape: An In-Depth Systematic Literature Review on Activities, Methods, Tools, Diseases, and Databases

Deep Learning Architectures for the Prediction of YY1-Mediated Chromatin Loops

NTpred: a robust and precise machine learning framework for in silico identification of Tyrosine nitration sites in protein sequences

Histone-net: a multi-paradigm computational framework for histone occupancy and modification prediction

DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method

Bot-net: a lightweight bag of tricks-based neural network for efficient lncrna–mirna interaction prediction

MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses

ADH-PPI: An attention-based deep hybrid model for protein-protein interaction prediction

Circ-LocNet: A Computational Framework for Circular RNA Sub-Cellular Localization Prediction

LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor

CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification

EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction

Advances in computational methodologies for classification and sub-cellular locality prediction of non-coding RNAs

ChrSLoc-Net: Machine learning-based prediction of channelrhodopsins proteins within plasma membrane

L2S-MirLoc: a lightweight two stage MiRNA sub-cellular localization prediction framework

MirLocPredictor: a ConvNet-based multi-label MicroRNA subcellular localization predictor by incorporating k-Mer positional information

A robust and precise convnet for small non-coding RNA classification (rpc-snrc)

K-mer Neural Embedding Performance Analysis Using Amino Acid Codons

Enhancer-dsnet: a supervisedly prepared enriched sequence representation for the identification of enhancers and their strength