Chemistry
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23 february 2021 18:49:30 |
| [ASAP] Machine Learning Enables Highly Accurate Predictions of Photophysical Properties of Organic Fluorescent Materials: Emission Wavelengths and Quantum Yields (Journal of Chemical Information and Modeling) |
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Tweet Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.0c01203 |
| 160 viewsCategory: Chemistry |
 [ASAP] Nanoscale Affinity Double Layer Overcomes the Poor Antimatrix Interference Capability of Aptamers (Analytical Chemistry)[ASAP] Shedding Light on the Inhibitory Mechanisms of SARS-CoV-1/CoV-2 Spike Proteins by ACE2-Designed Peptides (Journal of Chemical Information and Modeling) 
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