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A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues Automated webserver and some downloadable programs RaptorX: remote homology detection, protein 3D modeling, binding site prediction
Recent advances in chromatin immunoprecipitation followed by sequencing have provided powerful ways to identify genome-wide profiling of DNA-binding proteins and histone modifications. [1] [2] The application of ChIP-seq methods has reliably discovered transcription factor binding sites and histone modification sites.
Structure- and sequence-based prediction of DNA-binding sites in DNA-binding proteins can be performed on several web servers listed below. DISIS predicts DNA binding sites directly from the amino acid sequence and hence is applicable for all known proteins. It is based on the chemical-physical properties of the residue and its environment ...
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
Binding of a ligand to a binding site on protein often triggers a change in conformation in the protein and results in altered cellular function. Hence binding site on protein are critical parts of signal transduction pathways. [10] Types of ligands include neurotransmitters, toxins, neuropeptides, and steroid hormones. [11]
TM-SITE: A structure-based approach for ligand-binding site prediction. S-SITE: A sequence-based approach for ligand-binding site prediction. LOMETS: A set of locally installed threading programs for meta-server protein fold-recognition. MUSTER: A threading program to identify templates from a non-redundant protein structure library. SPICKER: A ...
Compared to ChIP-chip, ChIP-seq data can be used to locate the binding site within few tens of base pairs of the actual protein binding site. Tag densities at the binding sites are a good indicator of protein–DNA binding affinity, [14] which makes it easier to quantify and compare binding affinities of a protein to different DNA sites. [15]
ProBiS is a computer software which allows prediction of binding sites and their corresponding ligands for a given protein structure. Initially ProBiS was developed as a ProBiS algorithm by Janez Konc and Dušanka Janežič in 2010 [1] and is now available as ProBiS server, ProBiS CHARMMing server, ProBiS algorithm and ProBiS plugin.