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

BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction

Ángela López del Río

Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units

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

Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units

Sequence modeling and design from molecular to genome scale with Evo

Maria-Jesus Martin, Team Leader Protein Function - Development, People

Materials, Free Full-Text

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

Sequence modeling and design from molecular to genome scale with Evo

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

Deep Learning in Protein Structural Modeling and Design - ScienceDirect

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

Unified rational protein engineering with sequence-based deep representation learning. - Abstract - Europe PMC

Synthetic Behavior Sequence Generation Using Generative Adversarial Networks