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Editors’ Review

Download.com staff
RAPTOR offers accurate protein structure prediction using advanced threading methods and an intuitive interface. It excels with low sequence homology, generating high-quality models for beginners and experts.
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RAPTOR 0/1
  • Pros

    • Accurate protein structure prediction
    • Three different threading methods
    • Integer programming optimization for low homology
    • Easy-to-use interface
    • Intuitive output display
  • Cons

    • PSI-BLAST may not give confident hits for low homology
    • Primarily focused on protein threading

Used RAPTOR for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
4.5
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows Vista
  • Windows XP
  • Windows 7
  • Windows 10
Additional Requirements
None
POPULARITY
Total Downloads
9,710
Downloads Last Week
0

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Developer’s Description

Produce accurate computer models of proteins based on protein threading.
RAPTOR is an innovative software designed for accurate protein structure prediction. It combines advanced analysis tools in one integrated software solution and provides three different threading methods. RAPTOR's unique integer programming optimization approach is most effective for finding structure templates of targets with low sequence homology and is able to generate high quality models. The easy-to-use interface and easy-to-understand E values are ideal for beginners and experts. Above all, the intuitive display of the output enables users to understand the results simply at a glance. Given a target protein sequence, if there is a homologous protein with known 3D structure, it can be found by using sequence search tools like PSI-BLAST, also provided in RAPTOR. The target's structure is then built from the known structure; however, when the sequence homology is not significant, i.e. less than 25%, PSI-BLAST can not come up with a confident hit. Unlike PSI-BLAST, which simply does a sequence search, protein threading, fold recognition, makes use of both homology and structure information. It scans the protein sequence with an unknown structure against a database of known structures. By using a scoring function and conducting compatibility analysis between three-dimensional structures and linear protein sequences, the best structural template will be identified from which to build the sequence's structure. As a result, protein threading gives a superior prediction than homology modeling when there is marginal sequence homology.

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