Links tagged with 'binding sites'

Found 198 links

Displaying 15 links

3DLigandSiteTool Content

http://www.sbg.bio.ic.ac.uk/3dligandsite

3DLigandSite is a web server for the prediction of ligand binding sites. Ligands bound to similar protein structures as the query structure are used to predict the binding site.

3VTool Content

http://3vee.molmovdb.org

The 3V web server extracts and analyzes all of the internal volumes from input RNA and protein structures. Output is volumetric representations in images and downloadable files.

ANCHORTool Content

http://structure.pitt.edu/anchor

ANCHOR is a web-based tool for the analysis of protein-protein interfaces. ANCHOR indicates possible druggable pockets within the protein using anhor residues.

ARGOTool Content

http://wwwmgs.bionet.nsc.ru/mgs/programs/argo/

ARGO is a tool for the detection and visualization of sets of region-specific degenerate oligonucleotide motifs in the regulatory regions of eukaryotic genes.

BabelomicsTool Content

http://www.babelomics.org

Babelomics is a suite of web tools for the functional annotation and analysis of groups of genes in high throughput experiments. Tools include: FatiGO, FatiGOplus, Fatiscan, Gene Set Enrichment Analysis (GSEA), Marmite, and the Tissues Mining Tool (TMT). Other tools include Biocarta pathways, Transfac and a tool de novo functional annotation of sequences.

This content is being maintained by juan_aguilar.

BEARRTool Content

http://giscompute.gis.a-star.edu.sg/~vega/BEARR1.0/

Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3\' terminus to look for the patterns.

BindNTool Content

http://bioinformatics.ksu.edu/bindn/

BindN takes an amino acid sequence as input and predicts potential DNA or RNA-binding residues using support vector machines (SVMs).