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Mechanisms of mutational robustness in transcriptional regulation
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 …
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 …
they pose a big challenge for artificial intelligence. The implementation of machine …
DeeperBind: Enhancing prediction of sequence specificities of DNA binding proteins
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 …
regions of DNA promoters and initiate transcription. Finding the exact location of these …
Analyzing healthcare big data with prediction for future health condition
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 …
the clinical reports, doctor's notes, and wearable body sensors. The analysis of healthcare …
Protein language models and structure prediction: Connection and progression
The prediction of protein structures from sequences is an important task for function
prediction, drug design, and related biological processes understanding. Recent advances …
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 …
real-time for constrained mechanical systems are presented. The algorithm is based on a …
Predicting transcription factor binding sites with deep learning
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 …
regulate gene expression and how this regulation can be modulated for therapeutic …
SAResNet: self-attention residual network for predicting DNA-protein binding
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 …
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
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 …
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
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 …
transcription factors, can bind to specific DNA motifs to regulate gene expression and other …