Chapter title |
WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and Visualization
|
---|---|
Chapter number | 10 |
Book title |
Protein Function Prediction
|
Published in |
Methods in molecular biology, April 2017
|
DOI | 10.1007/978-1-4939-7015-5_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7013-1, 978-1-4939-7015-5
|
Authors |
Ying Yang, Bingjie Hu, Markus A. Lill |
Editors |
Daisuke Kihara |
Abstract |
Water molecules in the binding site of a protein significantly influence protein structure and function, for example, by mediating protein-ligand interactions or due to water displacement as driving force for ligand binding. The knowledge about location and thermodynamic contributions of binding site water molecules is crucial for understanding protein function. WATsite is a hydration site analysis program that was developed together with an easy-to-use graphical user interface (GUI) based on PyMOL. WATsite identifies hydration sites from a molecular dynamics (MD) simulation trajectory with four different types of explicit water molecules. Hydration sites can be identified with or without the presence of a bound ligand dependent on the scientific problem. The protein desolvation free energy can be estimated for any ligand by summation of the hydration site free energies of the displaced hydration sites. The location and thermodynamic profile of hydration sites mediating the protein-ligand interactions is important for understanding protein-ligand binding. The WATsite program and GUI are available free of charge from http://people.pharmacy.purdue.edu/~mlill/software/watsite/version2.shtml . |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Student > Master | 3 | 16% |
Student > Doctoral Student | 2 | 11% |
Researcher | 2 | 11% |
Other | 2 | 11% |
Other | 3 | 16% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 16% |
Agricultural and Biological Sciences | 2 | 11% |
Computer Science | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Chemistry | 2 | 11% |
Other | 3 | 16% |
Unknown | 5 | 26% |