[HTML][HTML] Applications of deep learning in understanding gene regulation

Z Li, E Gao, J Zhou, W Han, X Xu, X Gao - Cell Reports Methods, 2023 - cell.com
Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …

Protein–RNA interaction prediction with deep learning: structure matters

J Wei, S Chen, L Zong, X Gao, Y Li - Briefings in bioinformatics, 2022 - academic.oup.com
Protein–RNA interactions are of vital importance to a variety of cellular activities. Both
experimental and computational techniques have been developed to study the interactions …

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

Y Ji, Z Zhou, H Liu, RV Davuluri - Bioinformatics, 2021 - academic.oup.com
Motivation Deciphering the language of non-coding DNA is one of the fundamental
problems in genome research. Gene regulatory code is highly complex due to the existence …

AlphaFold2-aware protein–DNA binding site prediction using graph transformer

Q Yuan, S Chen, J Rao, S Zheng… - Briefings in …, 2022 - academic.oup.com
Protein–DNA interactions play crucial roles in the biological systems, and identifying protein–
DNA binding sites is the first step for mechanistic understanding of various biological …

[HTML][HTML] DeePromoter: robust promoter predictor using deep learning

M Oubounyt, Z Louadi, H Tayara, KT Chong - Frontiers in genetics, 2019 - frontiersin.org
The promoter region is located near the transcription start sites and regulates transcription
initiation of the gene by controlling the binding of RNA polymerase. Thus, promoter region …

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

F Li, J Chen, A Leier, T Marquez-Lago, Q Liu… - …, 2020 - academic.oup.com
Motivation Proteases are enzymes that cleave target substrate proteins by catalyzing the
hydrolysis of peptide bonds between specific amino acids. While the functional proteolysis …

Positive-unlabeled learning in bioinformatics and computational biology: a brief review

F Li, S Dong, A Leier, M Han, X Guo, J Xu… - Briefings in …, 2022 - academic.oup.com
Conventional supervised binary classification algorithms have been widely applied to
address significant research questions using biological and biomedical data. This …

[HTML][HTML] Model-driven generation of artificial yeast promoters

BJ Kotopka, CD Smolke - Nature communications, 2020 - nature.com
Promoters play a central role in controlling gene regulation; however, a small set of
promoters is used for most genetic construct design in the yeast Saccharomyces cerevisiae …

Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks

Y Zhu, F Li, D Xiang, T Akutsu, J Song… - Briefings in …, 2021 - academic.oup.com
A promoter is a region in the DNA sequence that defines where the transcription of a gene
by RNA polymerase initiates, which is typically located proximal to the transcription start site …

[HTML][HTML] Genomics enters the deep learning era

E Routhier, J Mozziconacci - PeerJ, 2022 - peerj.com
The tremendous amount of biological sequence data available, combined with the recent
methodological breakthrough in deep learning in domains such as computer vision or …