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LEAP-FS

LEAP-FS: Literature Enhanced Automated Predictions of Functional Sites. Welcome to the website for the LEAP-FS Protein Functional Site Prediction Browser. This site provides the functional site predictions for proteins in the Protein Data Bank (PDB), made by the LEAP-FS system. Our visualization allows you to explore the LEAP-FS predictions for specific PDB proteins in the context of the 3-D protein structure, with protein residue mentions in a relevant PubMed abstract highlighted alongside.

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LEAP-FS | leapfs.com Reviews
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LEAP-FS: Literature Enhanced Automated Predictions of Functional Sites. Welcome to the website for the LEAP-FS Protein Functional Site Prediction Browser. This site provides the functional site predictions for proteins in the Protein Data Bank (PDB), made by the LEAP-FS system. Our visualization allows you to explore the LEAP-FS predictions for specific PDB proteins in the context of the 3-D protein structure, with protein residue mentions in a relevant PubMed abstract highlighted alongside.
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1 leap fs prediction browser
2 overview
3 proteins
4 using the site
5 figure 1
6 coupons
7 reviews
8 scam
9 fraud
10 hoax
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LEAP-FS | leapfs.com Reviews

https://leapfs.com

LEAP-FS: Literature Enhanced Automated Predictions of Functional Sites. Welcome to the website for the LEAP-FS Protein Functional Site Prediction Browser. This site provides the functional site predictions for proteins in the Protein Data Bank (PDB), made by the LEAP-FS system. Our visualization allows you to explore the LEAP-FS predictions for specific PDB proteins in the context of the 3-D protein structure, with protein residue mentions in a relevant PubMed abstract highlighted alongside.

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List of Proteins in the LEAP-FS Prediction Browser

http://www.leapfs.com/list-proteins

List of proteins with graphical structures. 9398518] The structures of human glutathione transferase P1-1 in complex with glutathione and various inhibitors at high resolution. 9925782] Mechanism of inhibition of DNA (cytosine C5)-methyltransferases by oligodeoxyribonucleotides containing 5,6-dihydro-5-azacytosine. 9878371] The R78K and D117E active-site variants of Saccharomyces cerevisiae soluble inorganic pyrophosphatase: structural studies and mechanistic implications. 8218201] Energetic cost and str...

2

Help for the LEAP-FS Prediction Browser

http://www.leapfs.com/help

Help for using the Prediction Browser. Creating a cross-platform 3D protein visualization is not easy. Since Apple has been more strongly discouraging the use of Java applets on OS X (disabling them completely in the most recent update to the system-provided Java), our Java-based visualisation using Jmol. Became unusable for a large percentage of users, chiefly those on OS X. We now offer an alternative which uses Javascript and WebGL, based on a customized (LGPL-licensed) version. The simplest way to ma...

3

LEAP-FS

http://www.leapfs.com/about

LEAP-FS was developed through a collaboration between Michael Wall. And Judith Cohn at Los Alamos National Laboratory. It was funded through the National Institutes of Health. National Library of Medicine. Award R01-LM010120 to Karin Verspoor, 2009-2012, while Dr. Verspoor was employed at the University of Colorado Anschutz Medical Campus. Development of the Dynamics Perturbation Analysis (DPA) algorithm was funded by the Department of Energy through a LANL/LDRD program award to Michael Wall.

4

Overview of the LEAP-FS Prediction Browser

http://www.leapfs.com/overview

Functional sites on proteins are locations where the protein interacts in some way with other molecules, which are potentially valuable for tasks such as drug design. LEAP-FS (Literature Enhanced Automated Prediction of Functional Sites) 1. Is a system that integrates protein structure analysis. For protein functional site prediction. The structure analysis is carried out using Dynamics Perturbation Analysis (DPA), 2. The Value of Functional Sites. BMC Structural Biology 8:5.

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Projects | Text Mining Science

http://textminingscience.com/pages/projects

Text mining for science - the science of text mining. LEAP-FS: Literature Enhanced Automated Prediction of Functional Sites. This project has its own project website. Please see: LEAP-FS Project Site. LEAP-FS is an approach that integrates high-throughput structure-based and text-based functional site predictions. Functional site identification plays an important role in targeted drug design. The approach is described in our recent PLoS One publication. As they have related objectives. I previously worke...

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LEAP-FS: Literature Enhanced Automated Predictions of Functional Sites. Welcome to the website for the LEAP-FS Protein Functional Site Prediction Browser. This site provides the functional site predictions for proteins in the Protein Data Bank (PDB), made by the LEAP-FS system. Our visualization allows you to explore the LEAP-FS predictions for specific PDB proteins in the context of the 3-D protein structure, with protein residue mentions in a relevant PubMed abstract highlighted alongside.

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