Machine Learning Prediction of Transthyretin Binding for Thyroid Hormone Transport Disruption for Chemical Risk Assessment. [PDF]
Hou S, Ji C, Reh CM, Ruiz P.
europepmc +1 more source
Integrative deep learning strategies to enhance early-stage drug discovery: optimizing computational structure-activity modeling for pharmacotherapeutic innovation. [PDF]
Rezazi S, Si-Moussa C, Hanini S.
europepmc +1 more source
Explainable Bidirectional Long Short-Term Memory Networks Learn Chemistry from SMILES for Predicting Toxicity of Androgen and Estrogen Receptor Chemicals. [PDF]
Cutropia F +11 more
europepmc +1 more source
Optimized Structure of four ligands Frontier Molecular Orbitals and Chemical Reactivity Descriptors.
Abu Yousuf Hossin (20649059) +7 more
openalex +1 more source
Predicting affinity and potency of new psychoactive substances at cannabinoid 1 receptor with explainable artificial intelligence. [PDF]
Schöning V +7 more
europepmc +1 more source
Quantitative prediction of siRNA complexation by ionizable drugs enables their codelivery in nanoparticles. [PDF]
Slaughter KV +10 more
europepmc +1 more source
Stereo Signature Molecular Descriptor
We present an algorithm to compute molecular graph descriptors considering the stereochemistry of the molecular structure based on our previously introduced signature molecular descriptor. The algorithm can generate two types of descriptors, one which is compliant with the Cahn-Ingold-Prelog priority rules, including complex stereochemistry structures ...
Carbonell, Pablo +2 more
openaire +5 more sources
Molecular descriptor selection is a pivotal tool for quantitative structure–activity relationship modeling. This paper proposes a novel molecular descriptor selection method on the basis of taking into account the information of the group type that the ...
Zakariya Yahya Algamal +1 more
exaly +2 more sources
Notes on quantitative structure‐properties relationships (QSPR) part 2: The role of the number of atoms as a molecular descriptor [PDF]
Ramon Carbö-D̈Orca
exaly +2 more sources

