A systems approach to measuring the binding energy landscapes of transcription factors.
about
Universally sloppy parameter sensitivities in systems biology modelsDoes positive selection drive transcription factor binding site turnover? A test with Drosophila cis-regulatory modulesIdentification and targeting of an interaction between a tyrosine motif within hepatitis C virus core protein and AP2M1 essential for viral assemblyYeTFaSCo: a database of evaluated yeast transcription factor sequence specificitiesIdentification and characterization of a previously undescribed family of sequence-specific DNA-binding domainsGenomic regions flanking E-box binding sites influence DNA binding specificity of bHLH transcription factors through DNA shapeDry and wet approaches for genome-wide functional annotation of conventional and unconventional transcriptional activatorsSpecificity and nonspecificity in RNA-protein interactionsUsing protein-binding microarrays to study transcription factor specificity: homologs, isoforms and complexesHomotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expressionMutation rules and the evolution of sparseness and modularity in biological systemsMapping of Enzyme Kinetics on a Microfluidic DeviceThe crystal structure of the Sox4 HMG domain-DNA complex suggests a mechanism for positional interdependence in DNA recognitionCrowdsourcing biomedical research: leveraging communities as innovation enginesFACT and the proteasome promote promoter chromatin disassembly and transcriptional initiation.De novo identification and biophysical characterization of transcription-factor binding sites with microfluidic affinity analysisMassively parallel measurements of molecular interaction kinetics on a microfluidic platform.Synthetic biology outside the cell: linking computational tools to cell-free systemsProteomic approaches to analyzing hepatitis C virus biologyIn silico detection of sequence variations modifying transcriptional regulationInferring binding energies from selected binding sitesThe fitness landscapes of cis-acting binding sites in different promoter and environmental contextsUsing sequence-specific chemical and structural properties of DNA to predict transcription factor binding sitesTopology and dynamics of the zebrafish segmentation clock core circuitProbing the informational and regulatory plasticity of a transcription factor DNA-binding domainKiMoSys: a web-based repository of experimental data for KInetic MOdels of biological SYStemsCis-regulatory elements: molecular mechanisms and evolutionary processes underlying divergenceReconstruction of biochemical networks in microorganismsDiversity and complexity in DNA recognition by transcription factorsMicrofluidics for genome-wide studies involving next generation sequencing.Automated protein-DNA interaction screening of Drosophila regulatory elementsChip in a lab: Microfluidics for next generation life science research.Sequence-dependent sliding kinetics of p53Weak protein-protein interactions revealed by immiscible filtration assisted by surface tension.Ice-binding proteins that accumulate on different ice crystal planes produce distinct thermal hysteresis dynamicsBuilding accurate sequence-to-affinity models from high-throughput in vitro protein-DNA binding data using FeatureREDUCEFormation of regulatory modules by local sequence duplicationAn NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.iSLIM: a comprehensive approach to mapping and characterizing gene regulatory networksProbabilistic inference of transcription factor binding from multiple data sources.
P2860
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P2860
A systems approach to measuring the binding energy landscapes of transcription factors.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A systems approach to measuring the binding energy landscapes of transcription factors.
@en
type
label
A systems approach to measuring the binding energy landscapes of transcription factors.
@en
prefLabel
A systems approach to measuring the binding energy landscapes of transcription factors.
@en
P356
P1433
P1476
A systems approach to measuring the binding energy landscapes of transcription factors.
@en
P2093
Stephen R Quake
P304
P356
10.1126/SCIENCE.1131007
P407
P577
2007-01-01T00:00:00Z