Multi-Descriptor Read Across (MuDRA): A Simple and Transparent Approach for Developing Accurate Quantitative Structure–Activity Relationship Models
Por um escritor misterioso
Descrição
Simplex representation of molecular structure as universal QSAR
Hybrid In Silico Approach Reveals Novel Inhibitors of Multiple
QSAR models of human data can enrich or replace LLNA testing for
Quantitative Structure–Activity Relationship (QSAR) Study Predicts
Machine learning models for classification tasks related to drug
Hybrid In Silico Approach Reveals Novel Inhibitors of Multiple
PDF] Molecular fingerprint‐derived similarity measures for
Allosteric binders of ACE2 are promising anti-SARS-CoV-2 agents
Frontiers Comparison of Descriptor- and Fingerprint Sets in
GitHub - MikolajMizera/pyMuDRA: Python implementation of Multi
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por adulto (o preço varia de acordo com o tamanho do grupo)