Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction

Deep_CNN_LSTM_GO: Protein function prediction from amino-acid sequences - ScienceDirect

2212.06536] On mini-batch training with varying length time series

2212.06536] On mini-batch training with varying length time series

PDF) Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm

Unified rational protein engineering with sequence-only deep representation learning

MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution - ScienceDirect

Deep learning prediction of enzyme optimum pH

Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment

FFP: joint Fast Fourier transform and fractal dimension in amino acid property-aware phylogenetic analysis, BMC Bioinformatics

Deep Learning in Protein Structural Modeling and Design - ScienceDirect

Advances: Protein folding with artificial intelligence from DeepMind's AlphaFold2

Exploració per tema Aminoàcids

DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data

Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning - ScienceDirect