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medock.ee.ncku.edu.tw

MEDock

The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution. Read more. There are three ways to use MEDock. A first-time user could try the first option with the docking sample. If you want to start a new docking, click here.

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The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution. Read more. There are three ways to use MEDock. A first-time user could try the first option with the docking sample. If you want to start a new docking, click here.
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MEDock | medock.ee.ncku.edu.tw Reviews

https://medock.ee.ncku.edu.tw

The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution. Read more. There are three ways to use MEDock. A first-time user could try the first option with the docking sample. If you want to start a new docking, click here.

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medock.ee.ncku.edu.tw medock.ee.ncku.edu.tw
1

MEDock

http://medock.ee.ncku.edu.tw/step1.cgi

Some preparation work need to be done before your submission, including hydrogen atoms recovery, charge calculation. If you have no idea about what PDBQ format is, please check here. You could use sample PDBQ files. Predicting catalytic sites based on 1-dimensional signatures. A docking web server for efficient prediction of ligand binding sites. Predicting protein secondary structures. Predicting protein binding sites with automatically extracted geometrical templates.

2

MEDock

http://medock.ee.ncku.edu.tw/documentation.html

MEDock: a Maximum-Entropy based docking web server for efficient prediction of ligand binding sites. The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution. PDBQ is an extended PDB format that is used in many docking programs, e.g., AutoDock. FKBP-FK506, ...

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Special Interest Group on Molecular Biomedical Informatics

http://medock.csbb.ntu.edu.tw/documentation.html

Harder machine learning, better human living. MEDock: a maximum-entropy based docking web server for efficient prediction of ligand binding sites. Written by Darby Chang. On January 31, 2007. MEDock: a Maximum-Entropy based docking web server for efficient prediction of ligand binding sites. The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a nove...

medock.csbb.ntu.edu.tw medock.csbb.ntu.edu.tw

Special Interest Group on Molecular Biomedical Informatics

http://medock.csbb.ntu.edu.tw/step1.cgi

Harder machine learning, better human living. MEDock: a maximum-entropy based docking web server for efficient prediction of ligand binding sites. Written by Darby Chang. On January 31, 2007. Some preparation work need to be done before your submission, including hydrogen atoms recovery, charge calculation. If you have no idea about what PDBQ format is, please check here. And you could download sample PDBQ files. If you just want to experience MEDock right now. Please paste your input here.

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MEDock

The MEDock ( M. Ing) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution. Read more. There are three ways to use MEDock. A first-time user could try the first option with the docking sample. If you want to start a new docking, click here.

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