Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Robust Theoretical Models in Medicinal Chemistry
QSAR, Artificial Intelligence, Machine Learning, and Deep Learning
Angličtina
486 b
Pripravujeme
Vydanie 01. 05. 2027
Až 30 dní na vrátenie tovaru
Zákazníci tiež kúpili
/
Brožovaná
29.62
€
Quantitative Structure-Activity Relationships (QSAR) represent a concerted effort to establish correlations between structural or property descriptors of compounds and their respective activities. These physicochemical descriptors encompass a wide array of parameters, accounting for hydrophobicity, topology, electronic properties, and steric effects, and can be determined empirically or, more recently, through advanced computational methods. The activities considered in QSAR span chemical measurements and biological assays, making this approach a versatile tool applicable across various scientific domains. Currently, QSAR finds extensive use in diverse disciplines, prominently in drug design and environmental risk assessment. Robust Theoretical Models in Medicinal Chemistry: QSAR, Artificial Intelligence, Machine Learning, and Deep Learning serves as a valuable resource with applications extending into multiple knowledge domains. The meticulous construction of a robust model holds significance not only in drug discovery but also in engineering, chemistry, pharmaceutical, and food-related research, illustrating the broad spectrum of fields where QSAR methodologies can be instrumental.
- Provides specific introductions and discussions on QSAR theory and methods
- Analyzes QSAR applicability in Pharmaceutical Chemistry, Food Science, and Environmental Sciences
- Builds, validates and interprets robust, predictive and reliable QSAR models
Informácie o knihe
Angličtina
Kategórie
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
24.29
€
/
Brožovaná
29.11
€
/
Brožovaná
37.95
€
Ahoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?