HybridPSI – enhanced PSI-BLAST based on Hybrid Alignment

HybridPSI

:: DESCRIPTION

HybridPSI is a new version of the tool in which the Smith-Waterman alignment algorithm core is replaced by the hybrid alignment algorithm.

::DEVELOPER

Ralf Bundschuh’s Statistical Physics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 HybridPSI

:: MORE INFORMATION

Citation

Bioinformatics. 2011 Jan 1;27(1):31-7. doi: 10.1093/bioinformatics/btq621. Epub 2010 Nov 24.
A performance enhanced PSI-BLAST based on hybrid alignment.
Li Y1, Chia N, Lauria M, Bundschuh R.

SMI-BLAST v1 – Search framework based on PSI-BLAST for protein remote homology detection

SMI-BLAST v1

:: DESCRIPTION

SMI-BLAST (Supervised-Manner-based Iterative BLAST) is a novel supervised search framework based on PSI-BLAST for protein remote homology detection.

::DEVELOPER

Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

SMI-BLAST

:: MORE INFORMATION

Citation

Jin X, Liao Q, Wei H, Zhang J, Liu B.
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
Bioinformatics. 2021 May 17;37(7):913-920. doi: 10.1093/bioinformatics/btaa772. PMID: 32898222.

PSI-BLAST-ISS 1.04 – The PSI-BLAST Intermediate Sequence Search tool

PSI-BLAST-ISS 1.04

:: DESCRIPTION

PSI-BLAST-ISS is a standalone Unix-based tool designed to delineate reliable regions of sequence alignments as well as to suggest potential variants in unreliable regions. The region-specific reliability is assessed by producing multiple sequence alignments in different sequence contexts followed by the analysis of the consistency of alignment variants. The PSI-BLAST-ISS output enables the user to simultaneously analyze alignment reliability between query and multiple homologous sequences. In addition, PSI-BLAST-ISS can be used to detect distantly related homologous proteins.

::DEVELOPER

VU Institute of Biotechnology

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 PSI-BLAST-ISS

:: MORE INFORMATION

Citation

Margelevicius M., Venclovas C. (2005)
PSI-BLAST-ISS: an intermediate sequence search tool for estimation of the position-specific alignment reliability.
BMC Bioinformatics 6(1):185

PeCoP – PSI-BLAST Sequence to find Persistently Conserved Positions

PeCoP

:: DESCRIPTION

PeCoP stands for Persistently Conserved Positions. The PeCoP server offers a new way to examine positional conservation in protein sequences. The underlying rationale is that positions which are conserved in close and in distant sequence family members of the query sequence are more significant to the protein’s structure and function than those simply conserved in close family members. Positions which are conserved in close family members may be conserved due to evolutionary non-divergence, and therefore may not have a role in the protein’s structure or function. On the other hand, positions marked as conserved in distant family members may be marked as such due to errors in the multiple sequence alignment of remote sequences, which is tricky at best. The PeCoP server shows the conservation in varying degrees of family similarity to the query sequence, thus eliminating the false-positives that may be generated by alignments only to close and distant family members. It has been shown that this technique adds some 25% of information to the usual method of examining positional conservation in sequences, which is the “close-family” method.

::DEVELOPER

Iddo Friedberg

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Iddo Friedberg and Hanah Margalit
PeCoP: automatic determination of persistently conserved positions in protein families
Bioinformatics 2002 18: 1276-1277

TransposonPSI 20100822 – PSI-Blast to Mine (Retro-)Transposon ORF Homologies

TransposonPSI 20100822

:: DESCRIPTION

TransposonPSI is an analysis tool to identify protein or nucleic acid sequence homology to proteins encoded by diverse families of transposable elements. PSI-Blast is used with a collection of (retro-)transposon ORF homology profiles to identify statistically significant alignments. This method can be used to identify potential transposon ORFs within a protein set, or to identify regions of transposon homology within a larger genome sequence. This is particularly useful to identify degenerate transposon homologies within genome sequences that escape identification and masking by using RepeatMasker and an associated nucleotide library of repetitive elements. TransposonPSI has been routinely used to assist in the discovery of mobile elements across eukaryotes including protozoa, plants, fungi, and animals.

::DEVELOPER

Brian Haas @ Broad Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 TransposonPSI

:: MORE INFORMATION

HangOut – Generate Clean PSI-BLAST Profiles for Domains Containing long Insertions

HangOut

:: DESCRIPTION

HangOut is a software for a single domain with specified insertion position, cleans erroneously extended PSI-BLAST alignments to generate better profiles.

::DEVELOPER

Grishin Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 HangOut

:: MORE INFORMATION

Citation:

B.H. Kim, Q. Cong, N.V. Grishin (2010)
HangOut: generating clean PSI-BLAST profiles for domains containing long insertions“.
Bioinformatics (2010) 26 (12): 1564-1565.

SIB-BLAST – Algorithm to Improve Accuracy in PSI-BLAST Searches

SIB-BLAST

:: DESCRIPTION

SIB-BLAST  (Simple Is Beautiful) is a novel algorithm developed to overcome the model corruption problem that occurs frequently in the later iterations of PSI-BLAST searches.The algorithm compares resultant hits from iteration two and the final iteration of a PSI-BLAST search, calculates the figure of merit for each “overlapped” hit and re-ranks the hits according to their figure of merit. The premise of the algorithm is based on the observation that the profile, namely, the position specific scoring matrix (PSSM), in the first two rounds of a PSI-BLAST search, is the least corrupted since it is comprised mostly of close homologs. These profiles are used to search for more distant homologs, which are used to generate subsequent PSSMs. As more distant homologs are incorporated into the PSSM, non-homologous sequences frequently get included also, thus leading to model corruption. Hence, “benchmarking” hits from later iteration against earlier round when the model is least corrupted should improve the accuracy of a PSI-BLAST search.

::DEVELOPER

Ralf Bundschuh‘s statistical physics group at the Department of Physics of The Ohio State University.

:: SCREENSHOTS

N/A

: REQUIREMENTS

  • Linux

:: DOWNLOAD

 SIB-BLAST

:: MORE INFORMATION

Citation:

M.M. Lee, M. Chan, and R. Bundschuh,
Simple is beautiful: a straightforward approach to improve the delineation of true and false positives in PSI-BLAST searches“,
Bioinformatics 24 (2008) 1339-1343.