Progress in the Chemistry of Organic Natural Products 110 Cheminformatics in Natural Product Research /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kinghorn, A. Douglas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Falk, Heinz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gibbons, Simon (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kobayashi, Jun'ichi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Asakawa, Yoshinori (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Ji-Kai (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Progress in the Chemistry of Organic Natural Products, 110
• Θέματα: Organic chemistry.; Pharmaceutical technology.; Medicinal chemistry.; Organic Chemistry.; Pharmaceutical Sciences/Technology.; Medicinal Chemistry.

The book summarizes important aspects of cheminformatics that are relevant for natural product research. It highlights cheminformatics tools that help to match natural products with their respective biological targets or off-targets, and discusses the potential and limitations of this approach.

Πίνακας περιεχομένων:

• Resources for chemical, biological, and structural data on natural product
• The pharmacophore concept and its applications in computer-aided drug design
• Chemical space of natural products
• Cheminformatics analysis for natural product fragments
• A toolbox for the identification of modes of action of natural products
• A SWOT analysis of Cheminformatics in natural product research
• Open access prediction tools for natural products. Case study: hERG blockers.