CUB
发表于 2025-3-28 17:18:49
http://reply.papertrans.cn/17/1627/162625/162625_41.png
Galactogogue
发表于 2025-3-28 19:32:18
http://reply.papertrans.cn/17/1627/162625/162625_42.png
打算
发表于 2025-3-29 00:06:07
http://reply.papertrans.cn/17/1627/162625/162625_43.png
冷漠
发表于 2025-3-29 06:42:18
http://reply.papertrans.cn/17/1627/162625/162625_44.png
成绩上升
发表于 2025-3-29 10:19:20
http://reply.papertrans.cn/17/1627/162625/162625_45.png
过份
发表于 2025-3-29 14:15:46
http://reply.papertrans.cn/17/1627/162625/162625_46.png
Asperity
发表于 2025-3-29 18:02:29
Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program ,,e range of structural factors, and the artificial neural network based TALOS-N program has been trained to extract backbone and side-chain torsion angles from .H, .N, and .C shifts. The program is quite robust and typically yields backbone torsion angles for more than 90 % of the residues and side-c
针叶
发表于 2025-3-29 19:58:51
http://reply.papertrans.cn/17/1627/162625/162625_48.png
逢迎春日
发表于 2025-3-30 02:47:52
A General ANN-Based Multitasking Model for the Discovery of Potent and Safer Antibacterial Agents,Given the prevalence of these microbial pathogens and their increasing resistance to existing antibiotics, there is a pressing need for new antibacterial drugs. However, development of a successful drug is a complex, costly, and time-consuming process. Quantitative Structure-Activity Relationships (
GET
发表于 2025-3-30 04:36:46
Use of Artificial Neural Networks in the QSAR Prediction of Physicochemical Properties and Toxicitir imported into the EU at levels of 1 tonne/year or more. This has meant an increase in the in silico prediction of such data. One of the chief predictive approaches is QSAR (quantitative structure–activity relationships), which is widely used in many fields..A QSAR approach that is increasingly bei