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Autore: | Roy Kunal <1971-> |
Titolo: | q-RASAR : A Path to Predictive Cheminformatics / / by Kunal Roy, Arkaprava Banerjee |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Edizione: | 1st ed. 2024. |
Descrizione fisica: | 1 online resource (99 pages) |
Disciplina: | 542.85 |
Soggetto topico: | Chemistry - Data processing |
Quantum physics | |
Computer simulation | |
Molecules - Models | |
Computational Chemistry | |
Quantum Simulations | |
Molecular Modelling | |
Persona (resp. second.): | BanerjeeArkaprava |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | Chemical Information and Molecular Similarity -- Read-across and Quantitative Structure-activity Relationships (QSAR) for Making Predictions and Data Gap-Filling -- Quantitative Read-Across (q-RA) and Quantitative Read-Across Structure-Activity Relationships (q-RASAR) – Genesis and Model Development -- Tools, Applications, and Case Studies (q-RA and q-RASAR) -- Future Prospects. |
Sommario/riassunto: | This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains. |
Titolo autorizzato: | Q-RASAR |
ISBN: | 3-031-52057-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910806198703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |