You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
De Novo Design of Ligands Using Computational Methods
|
---|---|
Chapter number | 5 |
Book title |
Computational Drug Discovery and Design
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7756-7_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7755-0, 978-1-4939-7756-7
|
Authors |
Venkatesan Suryanarayanan, Umesh Panwar, Ishwar Chandra, Sanjeev Kumar Singh |
Abstract |
De novo design technique is complementary to high-throughput virtual screening and is believed to contribute in pharmaceutical development of novel drugs with desired properties at a very low cost and time-efficient manner. In this chapter, we outline the basic de novo design concepts based on computational methods with an example. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 30% |
Researcher | 4 | 15% |
Student > Bachelor | 4 | 15% |
Other | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 7% |
Unknown | 7 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 30% |
Chemistry | 6 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
Computer Science | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 2 | 7% |
Unknown | 6 | 22% |