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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 ...
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
SMID-BLAST is a tool developed to annotate known small-molecule binding sites as well as to predict binding sites in proteins whose crystal structures have not yet been determined. The prediction is based on extrapolation of known interactions, found in the PDB, to interactions between an uncrystallized protein with a small molecule of interest.
An email is sent to the user together with a link to a web page of results. RaptorX Server currently generates the following results: 3-state and 8-state secondary structure prediction, sequence-template alignment, 3D structure prediction, solvent accessibility prediction, disorder prediction and binding site prediction.
Protegen is a web-based database and analysis system that curates, stores and analyzes protective antigens. Protegen includes basic antigen information and experimental evidence curated from peer-reviewed articles. It also includes detailed gene/protein information (e.g. DNA and protein sequences, and COG classification).
The GeneMark.hmm algorithm (1998) was designed to improve accuracy of prediction of short genes and gene starts. The idea was to use the inhomogeneous Markov chain models introduced in GeneMark for computing likelihoods of the sequences emitted by the states of a hidden Markov model, or rather semi-Markov HMM, or generalized HMM describing the genomic sequence.
Protein–protein interaction prediction is a field combining bioinformatics and structural biology in an attempt to identify and catalog physical interactions between pairs or groups of proteins. Understanding protein–protein interactions is important for the investigation of intracellular signaling pathways, modelling of protein complex ...
Homology-based gene prediction based on amino acid and intron position conservation as well as RNA-Seq data [14] [15] GENIUS II Links ORFs in complete genomes to protein 3D structures: Prokaryotes, Eukaryotes [16] geneid: Program to predict genes, exons, splice sites, and other signals along DNA sequences: Eukaryotes [17] GeneParser