Multi-scale approaches in drug discovery : from empirical knowledge to in silico experiments and back /: from empirical knowledge to in silico experiments and back. (2017)

• Record Type: Book
• Further Information: Note: Edited by Alejandro Speck-Planche.
• Editors: Speck-Planche, Alejandro
• Contents: 1. Profiling drug binding by thermodynamics: Key to understanding 2. Machine learning approach to predict enzyme sub-classes 3. Multitasking model for computer-aided design and virtual screening of compounds with high anti-HIV activity and desirable ADMET properties 4. Alkaloids Menispermaceae family: a new source of compounds selective for beta-adrenergic receptors 5. Natural chemotherapeutic agents for cancer 6. Speeding up the design and virtual screening of therapeutic peptides: Simultaneous prediction of anticancer activity and cytotoxicity 7. Flavonoids of Asteraceae as multi-target source of compounds against protozoal diseases 8. Quasi-SMILES as a novel tool for prediction of nanomaterials’ endpoint
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 615.19; Drug development
• Languages: English
• ISBNs: 9780081012420
• Related ISBNs: 9780081011294
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.