Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms

M AlQuraishi, PK Sorger - Nature methods, 2021 - nature.com
Deep learning using neural networks relies on a class of machine-learnable models
constructed using 'differentiable programs'. These programs can combine mathematical …

Computational prediction of transcription-factor binding site locations

ML Bulyk - Genome biology, 2003 - Springer
Identifying genomic locations of transcription-factor binding sites, particularly in higher
eukaryotic genomes, has been an enormous challenge. Various experimental and …

Diversity and complexity in DNA recognition by transcription factors

G Badis, MF Berger, AA Philippakis, S Talukder… - Science, 2009 - science.org
Sequence preferences of DNA binding proteins are a primary mechanism by which cells
interpret the genome. Despite the central importance of these proteins in physiology …

Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors

MF Berger, ML Bulyk - Nature protocols, 2009 - nature.com
Protein-binding microarray (PBM) technology provides a rapid, high-throughput means of
characterizing the in vitro DNA-binding specificities of transcription factors (TFs). Using high …

Additivity in protein–DNA interactions: how good an approximation is it?

PV Benos, ML Bulyk, GD Stormo - Nucleic acids research, 2002 - academic.oup.com
Abstract Man and Stormo and Bulyk et al. recently presented their results on the study of the
DNA binding affinity of proteins. In both of these studies the main conclusion is that the …

Inferring binding energies from selected binding sites

Y Zhao, D Granas, GD Stormo - PLoS computational biology, 2009 - journals.plos.org
We employ a biophysical model that accounts for the non-linear relationship between
binding energy and the statistics of selected binding sites. The model includes the chemical …

Quantitative analysis demonstrates most transcription factors require only simple models of specificity

Y Zhao, GD Stormo - Nature biotechnology, 2011 - nature.com
To the Editor: In his News Feature published in the February issue, Michael Eisenstein
outlines several alternative methods of drug delivery1 and discusses how several targets in …

Central corticosteroid actions: Search for gene targets

NA Datson, MC Morsink, OC Meijer… - European journal of …, 2008 - Elsevier
Although many of the physiological effects of corticosteroid stress hormones on neuronal
function are well recognised, the underlying genomic mechanisms are only starting to be …

Protein–DNA binding specificity predictions with structural models

AV Morozov, JJ Havranek, D Baker… - Nucleic acids …, 2005 - academic.oup.com
Protein–DNA interactions play a central role in transcriptional regulation and other biological
processes. Investigating the mechanism of binding affinity and specificity in protein–DNA …

Kernel-based machine learning protocol for predicting DNA-binding proteins

N Bhardwaj, RE Langlois, G Zhao… - Nucleic Acids Research, 2005 - academic.oup.com
DNA-binding proteins (DNA-BPs) play a pivotal role in various intra-and extra-cellular
activities ranging from DNA replication to gene expression control. Attempts have been …