2020
DOI: 10.1021/acs.jchemed.0c00117
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Teaching and Learning Computational Drug Design: Student Investigations of 3D Quantitative Structure–Activity Relationships through Web Applications

Abstract: The increasing use of information technology in the discovery of new molecular entities encourages the use of modern molecular-modeling tools to help teach important concepts of drug design to chemistry and pharmacy undergraduate students. In particular, statistical models such as quantitative structure–activity relationships (QSAR)—often as its 3D QSAR variant—are commonly used in the development and optimization of a leading compound. We describe how these drug discovery methods can be taught and learned by … Show more

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Cited by 37 publications
(27 citation statements)
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References 65 publications
(97 reference statements)
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“…The 12 most promising virtual hits (Table and Figures and S44) were selected by means of an SB/LB consensus score strategy and predicted by means of pIC 50 s against ERα, making a prediction set in a sort of an ultimate prediction assessment for the 3-D QSAR models ,, Interestingly, the LB and SB models’ associated AAEP values were 0.06 and 0.04, respectively. The models proved to be effective in recognizing the correct potency trend ( r 2 of 0.88 and 0.93 for LB and SB models, respectively) with high accuracy.…”
Section: Resultsmentioning
confidence: 99%
“…The 12 most promising virtual hits (Table and Figures and S44) were selected by means of an SB/LB consensus score strategy and predicted by means of pIC 50 s against ERα, making a prediction set in a sort of an ultimate prediction assessment for the 3-D QSAR models ,, Interestingly, the LB and SB models’ associated AAEP values were 0.06 and 0.04, respectively. The models proved to be effective in recognizing the correct potency trend ( r 2 of 0.88 and 0.93 for LB and SB models, respectively) with high accuracy.…”
Section: Resultsmentioning
confidence: 99%
“…Investigating the effect of these fragments on fragment-based drug design can lead to in-silico techniques that directly improve synthetic drug design [66,67]. Most importantly, utilizing methods such as 3D quantitative structure-activity relationships (3D-QSAR) will help expand on this study by revealing the specific chemical reason why CC and CCCN fragments improve binding affinity [68][69][70]. Therefore, there are several exciting directions for future chemical research based on the methodology and conclusions of this study.…”
Section: Limitations and Future Workmentioning
confidence: 97%
“…Explore the influence of urban comfort on talent mobility under the role of market allocation and government promotion. Traditional Western theory emphasizes the influence of gainful factors such as economic opportunities, migration costs, and migration policies on labor mobility [15]. However, the continuous development of transportation and communication technologies has shrunk the time distance and perceived distance between cities, and local characteristics such as public services, environment, and cultural atmosphere have been gradually incorporated into the spatial division of labor mobility, and nonrevenue factors have become important factors in influencing the spatial decision of talent mobility [16].…”
Section: Related Workmentioning
confidence: 99%