Protein database searches using compositionally adjusted substitution matrices
By Stephen F. Altschul, John C. Wootton, E. Gertz, Richa Agarwala, Aleksandr Morgulis, Alejandro A. Schäffer, Yi-Kuo Yu. 2005
1,094 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology, Spectroscopy
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In Materials Chemistry
- Po-Ssu Huang
- Alexander Derry
- Bonnie Berger
- Raphael R. Eguchi
- Nir Ben-Tal
- Russ B. Altman
- Sean R. Eddy
- Amy E. Keating
In Molecular Biology
- Peer Bork
- Lars Juhl Jensen
- C. von Mering
- Damian Szklarczyk
- Jaime Huerta-Cepas
- Ivica Letunic
- Michael Kuhn
- Sean R. Eddy
In Spectroscopy
- Peer Bork
- Sean R. Eddy
- Bonnie Berger
- Erik L. L. Sonnhammer
- C. von Mering
- Lars Juhl Jensen
- Damian Szklarczyk
- Jaime Huerta-Cepas
Citations in the corpus
- Accelerated Profile HMM Searches (2011, background): “Biased composition correction has received close attention in NCBI BLAST software development [7,8,42], but is not part of the textbook description of ‘‘optimal’’ Smith/Waterman local alignment.”
- ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids (2010, methodology): “(2) Homologous sequences are collected using a BLAST (or PSI-BLAST) (6,7) search against a selected database.”
- RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome (2012, methodology): “This search function allows users to extract a gene/genes by BLAST search options (34,35), namely, blastn, tblastn and tblastx against coding sequence of genes with probes in the Rice 4x44K Microarray platform (Figure 3).”
- InParanoid 7: new algorithms and tools for eukaryotic orthology analysis (2009, methodology): “Compositional adjustment (28,29) is applied, as is the SEG low-complexity filter (30), set so as to mask only during seeding but not during extension (soft masking).”
- Sensitive protein alignments at tree-of-life scale using DIAMOND (2021, methodology): “24 ).”
- SIMAP—the database of all-against-all protein sequence similarities and annotations with new interfaces and increased coverage (2013, methodology): “Furthermore, we have already planned to increase the sensitivity and accuracy of the SIMAP matrix using composition-based score adjustment (33,34) that is so far not used in SIMAP and will switch from FASTA (18) search heuristics fully to the non-heuristic Smith–Waterman algorithm (19).”
- Stimulation of lignocellulosic biomass hydrolysis by proteins of glycoside hydrolase family 61: structure and function of a large, enigmatic family. (2010, background): “GH61 proteins detected by BLAST (30, 31) searching of the Uniprot (32) and GENESEQ (Thomson Reuters Corp.) databases were aligned Table 1: Data Collection (100 K) and Other Statistics for the GH61E Structuresa data set native K2Au(CN)2 PHMBS ZnSO4 data collection space group F23 F23 F23 F23 cell dim”
- Protein sequence design with a learned potential (2020, methodology): “To confirm that key sequence features are retained despite the increased variability seen, we calculated Psipred [75, 76, 77, 78, 79, 80] secondary structure prediction cross-entropy relative to DSSP assignments [81].”
- The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics (2013, methodology): “From the position-specific scoring matrices (PSSMs) output by PSI-BLAST, we obtained the dPSSM score PLOS ONE | www.plosone.org 2 July 2013 | Volume 8 | Issue 7 | e67863 which is the difference between the PSSM score of the wildtype residues and the PSSM scores of the mutant residues.”
- Multicoil2: Predicting Coiled Coils and Their Oligomerization States from Sequence in the Twilight Zone (2011, methodology): “The first line contains the protein name or PDB-id and BLAST E-value to the query (plus query name), where appropriate.”
- NCBI BLAST: a better web interface (2008, methodology): “(4) The Alignments section presents the alignments of the HSPs, either as a series of pairwise alignments (default), or as a single block of all HSPs anchored to the query.”
- eggNOG v4.0: nested orthology inference across 3686 organisms (2013, methodology): “The alignments and scores between all homologous protein pairs are, therefore, recalculated using low-complexity masking and with compositional adjustment of the amino acid substitution matrix (43) to account for compositional biases and low-complexity regions.”