Erebus – Protein Substructure Search Server

Erebus

:: DESCRIPTION

Erebus is a web server that searches the entire Protein Data Bank for a given substructure defined by a set of atoms of interest, such as the binding scaffolds for small molecules.

::DEVELOPER

Dokholyan Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2011 May 1;27(9):1327-9. doi: 10.1093/bioinformatics/btr129. Epub 2011 Apr 1.
Rigid substructure search.
Shirvanyants D1, Alexandrova AN, Dokholyan NV.

PPMs / PPMs-sl / PPMs-mcsl / PPMs-sub – Protein 3D Similar Substructure

PPMs / PPMs-sl / PPMs-mcsl / PPMs-sub

:: DESCRIPTION

PPMs is a tool for finding common substructures of the two proteins.

PPMs-sl is a tool for finding the largest matching subsets of the protein itself

PPMs-mcsl is for finding all similar substructures from different chains of the same protein.

PPMs-sub is for searching a substructure in the entire protein structure.

::DEVELOPER

PPMs team

:: SCREENSHOTS

PPMs

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java

:: DOWNLOAD

 PPMs / PPMs-sl / PPMs-mcsl / PPMs-sub

:: MORE INFORMATION

SEGMER – Protein Substructure Recognition

SEGMER

:: DESCRIPTION

SEGMER is a segmental threading algorithm designed to recoginzing substructure motifs from the Protein Data Bank (PDB) library. It first splits target sequences into segments which consists of 2-4 consecutive or non-consecutive secondary structure elements (alpha-helix, beta-strand). The sequence segments are then threaded through the PDB to identify conserved substructures. It often identifies better conserved structure motifs than the whole-chain threading methods, especially when there is no similar global fold existing in the PDB.

::DEVELOPER

Yang Zhang’s Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 SEGMER

:: MORE INFORMATION

Citation

Structure. 2010 Jul 14;18(7):858-67. doi: 10.1016/j.str.2010.04.007.
Recognizing protein substructure similarity using segmental threading.
Wu S1, Zhang Y.

DASS – Discovery and P-value Calculation of Substructures in Unordered data

DASS

:: DESCRIPTION

DASS (Discovery of All Significant Substructures) that first identifies all substructures in unordered data (DASSSub) in a manner that is especially efficient for modular data. In addition, DASS calculates the statistical significance of the identified substructures, for sets with at most one element of each type (DASSPset), or for sets with multiple occurrence of elements (DASSPmset).

::DEVELOPER

Dr. Maik Friedel , J.Hollunder

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

  DASS

:: MORE INFORMATION

Citation

DASS: Efficient Discovery and P-Value Calculation of Substructures in Unordered Data
Jens Hollunder, Maik Friedel, Andreas Beyer, Christopher T. Workman, Thomas Wilhelm
Bioinformatics (2007), 23(1): 77-83.