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Submitted URL: http://exploration.weizmann.ac.il/
Effective URL: https://exploration.weizmann.ac.il/pandatox/1_0/home.html
Submission Tags: @phish_report
Submission: On November 18 via api from FI — Scanned from IL
Effective URL: https://exploration.weizmann.ac.il/pandatox/1_0/home.html
Submission Tags: @phish_report
Submission: On November 18 via api from FI — Scanned from IL
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Offered by the Weizmann Institute of Science Freely to Academic Non-Profit Institutions. Other Users Please Contact LifeMap Sciences Inc. * Home * Browse * Search * Blast * Statistics * Help * FAQ * Methods * Papers * About Us * Contact Us * Terms Of Use > HOME PAGE > > PanDaTox version: 1.0 > > The PanDaTox database aims at identifying genes and intergenic regions that > are unclonable in E. coli, to aid in the discovery of new antibiotics and > biotechnologically beneficial functional genes. It is also designed to improve > the efficiency of metabolic engineering, by systematically identifying enzymes > whose products are toxic to E. coli. > > PanDaTox is a database of genes that are potentially toxic to bacteria. The > construction of this database is based on computational methods that scan a > microbial genome and detect specific genes that kill E. coli if cloned into > it. These methods identify genes and intergenic regions that fail to propagate > in E. coli in the process of whole genome shotgun sequencing, thus creating > sequencing gaps. It has been shown that these sequencing gaps are frequently > caused by toxic genes, which may have antimicrobial properties. > > PanDaTox holds and presents a set of >40,000 genes that may be toxic to > bacteria. These genes are the result of a computational analysis performed on > ~400 microbial genomes. Users can search for toxic genes in their genome of > interest; check who are the homologs of these toxic genes and whether these > homologs are toxic as well; query the database using a keyword-based search > for genes answering to specific user-supplied criteria; and perform a > sequence-based search (blast) for genes in the database that are similar to a > query gene of their choice. The toxicity information for each gene is > presented in both numerical and graphical manners, and details on each gene, > including its DNA sequence, protein sequence, and various links to external > web sources are presented. > > Comments and Suggestions: rotem.sorek@weizmann.ac.il