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Series GSE247740 Query DataSets for GSE247740
Status Public on Apr 27, 2024
Title The allosteric landscape of the Src kinase
Organisms Saccharomyces cerevisiae; Homo sapiens
Experiment type Other
Summary Enzymes catalyze the reactions of life and are the targets of nearly all small molecule drugs. Most drugs inhibit enzymes by binding to conserved active sites, causing problems of specificity and toxicity. Targeting regulatory allosteric sites can increase specificity, overcome drug resistance and tune or activate activity.However, the vast majority of enzymes have no known allosteric sites and methods do not exist to globally identify or predict them.Here we present a general and fast method to globally chart allosteric communication in enzymes and apply it to the Src protein kinase to produce the first comprehensive map of negative and positive allosteric control of enzymatic activity. Allosteric control of Src is pervasive, anisotropic and distance dependent, but fairly predictable from simple sequence and structural features. The comprehensive allosteric map enables unbiased identification of all the allosterically active surface pockets of the Src kinase for the development of activatory and inhibitory drugs.This general approach can be used to chart global allosteric maps of many kinases, enzymes, and other biochemical activities important for medicine and biotechnology.
 
Overall design We designed a variant library covering the kinase domain of the human tyrosine kinase Src. The library is split in 5 blocks of ~60 aa residues, and each block consists of all single substitutions in 10 genetic backgrounds (54,455 genotypes in total across the full kinase domain). Each block was cloned into a Src kinase domain alone construct (KD), and a full-length Src construct (FL), and each of these was selected in triplicate in activity and protein abundance assays in yeast. The data files here correspond to the amplicon-seq libraries of the population of variants in each block before and after selection (inputs and outputs).
 
Contributor(s) Beltran A, Lehner B
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Submission date Nov 14, 2023
Last update date Apr 27, 2024
Contact name Antoni Beltran
E-mail(s) toni.beltran@crg.eu
Organization name CRG Barcelona
Street address Dr Aiguader, 88
City Barcelona
ZIP/Postal code 08003
Country Spain
 
Platforms (1)
GPL33934 NextSeq 2000 (Homo sapiens; Saccharomyces cerevisiae)
Samples (118)
GSM7900113 1_KD_activity_block1_input1
GSM7900114 2_KD_activity_block1_input2
GSM7900115 3_KD_activity_block1_input3
Relations
BioProject PRJNA1040239

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE247740_FL_weights_Activity.txt.gz 431.5 Kb (ftp)(http) TXT
GSE247740_FL_weights_Folding.txt.gz 429.1 Kb (ftp)(http) TXT
GSE247740_Fitness_scores.txt.gz 2.6 Mb (ftp)(http) TXT
GSE247740_KD_weights_Activity.txt.gz 430.4 Kb (ftp)(http) TXT
GSE247740_KD_weights_Folding.txt.gz 429.4 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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