Virtual Screening and Drug Docking
- 1 Edición, Volumen 59 - 17 de noviembre de 2022
- Última edición
- Editor: Julio Caballero
- Idioma: Inglés
Virtual Screening and Drug Docking, Volume 59 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field, with this new volume presenting inter… Leer más
Descripción
Descripción
Virtual Screening and Drug Docking, Volume 59 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Can docking scoring functions guarantee success in virtual screening?, No dance, no partner! A tale of flexibility in docking and virtual screening, Handling Imbalance Data in Virtual Screening, Rational computational approaches to predict novel drug candidates against leishmaniasis, Virtual screening against Mtb DNA gyrase: Applications and success stories, Using Filters in Virtual Screening: A Brief Guide to Minimize Errors and Maximize Efficiency, and more.
Additional chapters in the new release include Machine Learning and Deep Learning Strategies for Virtual Screening, Applications of the Virtual Screening to find the novel HIV-1 therapeutic agents, and Large-scale screening of small molecules with docking strategies and its impact on drug discovery.
Puntos claves
Puntos claves
- Provides the authority and expertise of leading contributors from an international board of authors
- Presents the latest release in the Annual Reports on Medicinal Chemistry series
- Updated release includes the latest information on Virtual Screening and Drug Docking
De interès para
De interès para
Undergraduates, graduates, academics, and researchers in the field of medicinal chemistry
Índice
Índice
1. Can docking scoring functions guarantee success in virtual screening?
Yunierkis Perez-Castillo
2. No dance, no partner! A tale of flexibility in docking and virtual screening
Attilio Vittorio Vargiu
3. Handling Imbalance Data in Virtual Screening
Selçuk Korkmaz
4. Rational computational approaches to predict novel drug candidates against leishmaniasis
Rodrigo Ochoa, Christian Bustamante and Carlos Muskus
5. Virtual screening against Mtb DNA gyrase: Applications and success stories
Dharmarajan Sriram
6. Using Filters in Virtual Screening: A Brief Guide to Minimize Errors and Maximize Efficiency
Mohammad A. Ghattas V
7. Machine Learning and Deep Learning Strategies for Virtual Screening
Waqar Hussain
8. Applications of the Virtual Screening to find the novel HIV-1 therapeutic agents
Sanjeev Kumar Singh
9. Large-scale screening of small molecules with docking strategies and its impact on drug discovery
Sanjeev Kumar Singh
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Volumen: 59
- Publicado: 17 de noviembre de 2022
- Idioma: Inglés
Sobre el editor
Sobre el editor
JC