Mechanisms of mutational robustness in transcriptional regulation

JL Payne, A Wagner - Frontiers in genetics, 2015 - frontiersin.org
Robustness is the invariance of a phenotype in the face of environmental or genetic change.
The phenotypes produced by transcriptional regulatory circuits are gene expression patterns …

Protein science meets artificial intelligence: a systematic review and a biochemical meta-analysis of an inter-field

J Villalobos-Alva, L Ochoa-Toledo… - … in Bioengineering and …, 2022 - frontiersin.org
Proteins are some of the most fascinating and challenging molecules in the universe, and
they pose a big challenge for artificial intelligence. The implementation of machine …

DeeperBind: Enhancing prediction of sequence specificities of DNA binding proteins

HR Hassanzadeh, MD Wang - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Transcription factors (TFs) are macromolecules that bind to cis-regulatory specific sub-
regions of DNA promoters and initiate transcription. Finding the exact location of these …

Analyzing healthcare big data with prediction for future health condition

PK Sahoo, SK Mohapatra, SL Wu - IEEE Access, 2016 - ieeexplore.ieee.org
In healthcare management, a large volume of multi-structured patient data is generated from
the clinical reports, doctor's notes, and wearable body sensors. The analysis of healthcare …

Protein language models and structure prediction: Connection and progression

B Hu, J **a, J Zheng, C Tan, Y Huang, Y Xu… - arxiv preprint arxiv …, 2022 - arxiv.org
The prediction of protein structures from sequences is an important task for function
prediction, drug design, and related biological processes understanding. Recent advances …

A new computational approach to real-time trajectory generation for constrained mechanical systems

MB Milam, K Mushambi… - Proceedings of the 39th …, 2000 - ieeexplore.ieee.org
Preliminary results of a new computational approach to generate aggressive trajectories in
real-time for constrained mechanical systems are presented. The algorithm is based on a …

Predicting transcription factor binding sites with deep learning

N Ghosh, D Santoni, I Saha, G Felici - International Journal of Molecular …, 2024 - mdpi.com
Prediction of binding sites for transcription factors is important to understand how the latter
regulate gene expression and how this regulation can be modulated for therapeutic …

SAResNet: self-attention residual network for predicting DNA-protein binding

LC Shen, Y Liu, J Song, DJ Yu - Briefings in Bioinformatics, 2021 - academic.oup.com
Abstract Knowledge of the specificity of DNA-protein binding is crucial for understanding the
mechanisms of gene expression, regulation and gene therapy. In recent years, deep …

Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs

J Hu, Y Li, M Zhang, X Yang… - IEEE/ACM transactions …, 2016 - ieeexplore.ieee.org
Protein-DNA interactions are ubiquitous in a wide variety of biological processes. Correctly
locating DNA-binding residues solely from protein sequences is an important but …

Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation

N Chen, J Yu, Z Liu, L Meng, X Li… - Nucleic Acids …, 2024 - academic.oup.com
DNA motifs are crucial patterns in gene regulation. DNA-binding proteins (DBPs), including
transcription factors, can bind to specific DNA motifs to regulate gene expression and other …