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Titlebook: q-RASAR; A Path to Predictive Kunal Roy,Arkaprava Banerjee Book 2024 The Author(s), under exclusive license to Springer Nature Switzerland

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發(fā)表于 2025-3-25 06:03:41 | 只看該作者
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發(fā)表于 2025-3-25 10:55:49 | 只看該作者
,Quantitative Read-Across (q-RA) and Quantitative Read-Across Structure–Activity Relationships (q-RAy from well-validated models developed from the training set. The quality of predictions (quantitative or classification-based) is judged from the usual quality and validation metrics for QSAR models. In general, it has been found that the q-RASAR approach enhances the quality of predictions compared to the corresponding QSAR models.
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發(fā)表于 2025-3-25 14:48:51 | 只看該作者
Future Prospects,emistry research may be rewarding for lead optimization and pharmacokinetic fine-tuning. These new approaches may also be applied in several other diverse fields like agriculture, food, nanosciences, etc.
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發(fā)表于 2025-3-26 10:58:42 | 只看該作者
Kunal Roy,Arkaprava Banerjee Parties’ ability to fulfil election promises is compared to what ‘the conventional wisdom would lead us to expect’ (Thomson 1999:223). Gerald Pomper and Susan Lederman for example state that ‘To find any fulfilment of party pledges is remarkable, in the light of the conventional wisdom’ (Pomper & L
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