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Mendeley readers
Chapter title |
Molecular Dynamics Simulations of Protein–Drug Complexes: A Computational Protocol for Investigating the Interactions of Small-Molecule Therapeutics with Biological Targets and Biosensors
|
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Chapter number | 13 |
Book title |
Computational Drug Discovery and Design
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7756-7_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7755-0, 978-1-4939-7756-7
|
Authors |
Jodi A. Hadden, Juan R. Perilla |
Abstract |
MD simulations provide a powerful tool for the investigation of protein-drug complexes. The following chapter uses the aryl acylamidase-acetaminophen system as an example to describe a general protocol for preparing and running simulations of protein-drug complexes, complete with a step-by-step tutorial. The described approach is broadly applicable toward the study of drug interactions in the context of both biological targets and biosensing enzymes. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 38% |
Student > Doctoral Student | 3 | 14% |
Student > Ph. D. Student | 3 | 14% |
Researcher | 3 | 14% |
Professor | 1 | 5% |
Other | 2 | 10% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 19% |
Chemistry | 3 | 14% |
Agricultural and Biological Sciences | 2 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Other | 5 | 24% |
Unknown | 4 | 19% |