Biomaterial Database

Knowledge-based three-body potential for transcription factor binding site prediction. 2016

Wenyi Qin, and Guijun Zhao, and Matthew Carson, and Caiyan Jia, and Hui Lu

Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.

A structure-based statistical potential is developed for transcription factor binding site (TFBS) prediction. Besides the direct contact between amino acids from TFs and DNA bases, the authors also considered the influence of the neighbouring base. This three-body potential showed better discriminate powers than the two-body potential. They validate the performance of the potential in TFBS identification, binding energy prediction and binding mutation prediction.

UI	MeSH Term	Description	Entries
D011487	Protein Conformation	The characteristic 3-dimensional shape of a protein, including the secondary, supersecondary (motifs), tertiary (domains) and quaternary structure of the peptide chain. PROTEIN STRUCTURE, QUATERNARY describes the conformation assumed by multimeric proteins (aggregates of more than one polypeptide chain).	Conformation, Protein,Conformations, Protein,Protein Conformations
D001665	Binding Sites	The parts of a macromolecule that directly participate in its specific combination with another molecule.	Combining Site,Binding Site,Combining Sites,Site, Binding,Site, Combining,Sites, Binding,Sites, Combining
D013816	Thermodynamics	A rigorously mathematical analysis of energy relationships (heat, work, temperature, and equilibrium). It describes systems whose states are determined by thermal parameters, such as temperature, in addition to mechanical and electromagnetic parameters. (From Hawley's Condensed Chemical Dictionary, 12th ed)	Thermodynamic
D014157	Transcription Factors	Endogenous substances, usually proteins, which are effective in the initiation, stimulation, or termination of the genetic transcription process.	Transcription Factor,Factor, Transcription,Factors, Transcription
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D051188	Knowledge Bases	Collections of facts, assumptions, beliefs, and heuristics that are used in combination with databases to achieve desired results, such as a diagnosis, an interpretation, or a solution to a problem (From McGraw Hill Dictionary of Scientific and Technical Terms, 6th ed).	Knowledge Bases (Computer),Knowledgebases,Base, Knowledge,Base, Knowledge (Computer),Bases, Knowledge,Bases, Knowledge (Computer),Knowledge Base,Knowledge Base (Computer),Knowledgebase
D018360	Crystallography, X-Ray	The study of crystal structure using X-RAY DIFFRACTION techniques. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)	X-Ray Crystallography,Crystallography, X Ray,Crystallography, Xray,X Ray Crystallography,Xray Crystallography,Crystallographies, X Ray,X Ray Crystallographies
D019295	Computational Biology	A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.	Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D020539	Sequence Analysis, Protein	A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.	Amino Acid Sequence Analysis,Peptide Sequence Analysis,Protein Sequence Analysis,Sequence Determination, Protein,Amino Acid Sequence Analyses,Amino Acid Sequence Determination,Amino Acid Sequence Determinations,Amino Acid Sequencing,Peptide Sequence Determination,Protein Sequencing,Sequence Analyses, Amino Acid,Sequence Analysis, Amino Acid,Sequence Analysis, Peptide,Sequence Determination, Amino Acid,Sequence Determinations, Amino Acid,Acid Sequencing, Amino,Analyses, Peptide Sequence,Analyses, Protein Sequence,Analysis, Peptide Sequence,Analysis, Protein Sequence,Peptide Sequence Analyses,Peptide Sequence Determinations,Protein Sequence Analyses,Protein Sequence Determination,Protein Sequence Determinations,Sequence Analyses, Peptide,Sequence Analyses, Protein,Sequence Determination, Peptide,Sequence Determinations, Peptide,Sequence Determinations, Protein,Sequencing, Amino Acid,Sequencing, Protein
D029968	Escherichia coli Proteins	Proteins obtained from ESCHERICHIA COLI.	E coli Proteins