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Zinc Fingers

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An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA.

BMC genomics 28155662
BACKGROUND: The ability to engineer zinc finger proteins binding to a DNA sequence of choice is essential for targeted genome editing to be possible. Experimental techniques and molecular docking have been successful in predicting protein-DNA interac...
Algorithms Binding Sites DNA DNA-Binding Proteins Models, Molecular Molecular Conformation Neural Networks, Computer Protein Binding Zinc Fingers
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Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method.

Combinatorial chemistry & high throughput screening 28292252
AIM AND OBJECTIVE: The Krüppel-like factors (KLFs) are a family of containing Zn finger(ZF) motif transcription factors with 18 members in human genome, among them, KLF18 is predicted by bioinformatics. KLFs possess various physiological function inv...
Amino Acids Databases, Protein Humans Kruppel-Like Transcription Factors Machine Learning Zinc Fingers
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A universal deep-learning model for zinc finger design enables transcription factor reprogramming.

Nature biotechnology 36702896
CysHis zinc finger (ZF) domains engineered to bind specific target sequences in the genome provide an effective strategy for programmable regulation of gene expression, with many potential therapeutic applications. However, the structurally intricate...
Deep Learning DNA Gene Expression Regulation Humans Transcription Factors Zinc Fingers
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