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Norberto Sánchez-Cruz

Researcher at National Autonomous University of Mexico

Publications -  19
Citations -  319

Norberto Sánchez-Cruz is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Chemical space & Cheminformatics. The author has an hindex of 8, co-authored 19 publications receiving 159 citations.

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Extended connectivity interaction features: improving binding affinity prediction through chemical description.

TL;DR: Extended Connectivity Interaction Features (ECIF) are a set of protein-ligand atom-type pair counts that take into account each atom's connectivity to describe it and thus define the pair types and build machine-learning scoring functions with improved predictions of binding affinity.
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Open chemoinformatic resources to explore the structure, properties and chemical space of molecules

TL;DR: This review discusses open chemoinformatic resources to analyze the diversity and coverage of the chemical space of screening libraries and to explore structure–activity relationships of screening data sets.
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Inhibitors of DNA Methyltransferases From Natural Sources: A Computational Perspective.

TL;DR: The chemoinformatic-guided exploration of the chemical space of naturally occurring compounds as epigenetic modulators which may have significant implications in epigenetic drug discovery and nutriepigenetics are discussed.
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Consensus Virtual Screening of Dark Chemical Matter and Food Chemicals Uncover Potential Inhibitors of SARS-CoV-2 Main Protease

TL;DR: A consensus virtual screening of extensive collections of food chemicals and compounds known as dark chemical matter is reported to contribute to global efforts with a description of currently underexplored chemical space regions.
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Recent progress on cheminformatics approaches to epigenetic drug discovery.

TL;DR: The advances in computational approaches to drug discovery of small molecules with epigenetic modulation profiles are reviewed, the current chemogenomics data available for epigenetics targets are summarized, and a perspective on the greater utility of biomedical knowledge mining as a means to advance the epigenetic drug discovery is provided.