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Therefore, the BLAST algorithm uses a heuristic approach that is less accurate than the Smith-Waterman algorithm but over 50 times faster. [13] The speed and relatively good accuracy of BLAST are among the key technical innovations of the BLAST programs. An overview of the BLAST algorithm (a protein to protein search) is as follows: [13]
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. [ 2 ] [ 3 ] [ 4 ] It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure ( beta ...
Proteome Analyst is a high-throughput tool for predicting properties for each protein in a proteome. The user provides a proteome in fasta format, and the system employs Psi-blast, Psipred and Modeller to predict protein function and subcellular localization.
Sequence-context specific BLAST, more sensitive than BLAST, FASTA, and SSEARCH. Position-specific iterative version CSI-BLAST more sensitive than PSI-BLAST: Protein: Angermueller C, Biegert A, Soeding J [3] 2013 CUDASW++ GPU accelerated Smith Waterman algorithm for multiple shared-host GPUs: Protein: Liu Y, Maskell DL and Schmidt B: 2009/2010 ...
PSI Protein Classifier is a program generalizing the results of both successive and independent iterations of the PSI-BLAST program. PSI Protein Classifier determines belonging of the found by PSI-BLAST proteins to the known families. The unclassified proteins are grouped according to similarity.
Lipman is very well known for his seminal work on a series of sequence similarity algorithms, starting from the Wilbur-Lipman [13] algorithm in 1983, FASTA search [14] [15] in 1985, BLAST [16] in 1990, and Gapped BLAST and PSI-BLAST [17] in 1997. BLAST eventually became the most widely-used and highly-cited (over 160,000 citations as of 2021 ...
From this alignment, a profile HMM is calculated. The databases contain HMMs that are precalculated in the same fashion using PSI-BLAST. The output of HHpred and HHsearch is a ranked list of database matches (including E-values and probabilities for a true relationship) and the pairwise query-database sequence alignments.
predict both 3-state and 8-state secondary structure using conditional neural fields from PSI-BLAST profiles: Webserver/downloadable: server download: 2011 GOR: Information theory/Bayesian inference: Many implementations: Basic GOR GOR V: 2002 (GOR V) Jpred: Multiple Neural network assignment from PSI-BLAST and HMMER profiles. Predicts ...