QSAR—An Important In-Silico Tool in Drug Design and Discovery
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7857-8_16
Reference93 articles.
1. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P (2021) Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Diversity 25:1315–1360
2. Khan MTH, Sylte I (2007) Predictive QSAR modeling for the successful predictions of the ADMET properties of candidate drug molecules. Curr Drug Discov Technol 4:141–149
3. Kubinyi H (2002) From narcosis to hyperspace: The history of QSAR. Quant Struct-act Relatsh 21:348–356
4. Prachayasittikul V, Worachartcheewan A, Shoombuatong W, Songtawee N, Simeon S, Prachayasittikul V, Nantasenamat C (2015) Computer-aided drug design of bioactive natural products. Curr Top Med Chem 15:1780–1800
5. Katritzky AR, Kuanar M, Slavov S, Hall CD, Karelson M, Kahn I, Dobchev DA (2010) Quantitative correlation of physical and chemical properties with chemical structure: utility for prediction. Chem Rev 110:5714–5789
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