Mutation-Aware Machine Learning Framework for Predicting Binding Affinity of Nirmatrelvir Analogs Targeting Coronavirus Main Proteases. [PDF]
Rahman MS, Hasan MM, M Islam S.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
PyMolGen: Database-Driven Molecular Generation of Drug-Like Compounds. [PDF]
Falcone BN +10 more
europepmc +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Observed fingerprint of global warming exposes model biases in regional climate attribution. [PDF]
Aru H, Olonscheck D, Marotzke J, Li C.
europepmc +1 more source
Structural diversity and chemical space analysis of a PROTAC database using unsupervised machine learning. [PDF]
Kharwar A +3 more
europepmc +1 more source
Molecular architecture of OXGR1 reveals an evolutionary conserved mechanisms for metabolite surveillance. [PDF]
Zhang X +18 more
europepmc +1 more source
Evolving CRBN ligands enhance the drug-like properties of protein degraders. [PDF]
Ji XQ, Wang L, Dai XJ.
europepmc +1 more source
Lone pair localization governs ferroelectric stability and excitonic properties in lead free halide perovskites. [PDF]
Rahimi S, Jalali-Asadabadi S.
europepmc +1 more source
Cooperative molecular interaction networks govern PARP1 inhibitor selectivity and binding affinity. [PDF]
Feito A +7 more
europepmc +1 more source

