| Chapter title |
Computational Support of Medicinal Chemistry in Industrial Settings
|
|---|---|
| Chapter number | 16 |
| Book title |
Computational Methods for GPCR Drug Discovery
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7465-8_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7464-1, 978-1-4939-7465-8
|
| Authors |
Daniel F. Ortwine |
| Abstract |
The practice of computational chemistry in an industrial setting poses unique opportunities and challenges. Industrial computational chemists must manage large amounts of data, master modeling software, write scripts to perform custom calculations, and stay abreast of scientific advances in the field. Just as importantly, because computational chemists are full partners in the drug discovery effort at companies, in order to influence and streamline the drug discovery process, they must communicate effectively with medicinal chemists and other scientists to deliver results of their calculations in a timely fashion. The skills necessary to play this role require education that emphasizes a combination of chemistry, programming, and communication skills. Professors are encouraged to incorporate such training in their curriculum. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |