Different kinds of biological databases publicly available nowadays provide us a goldmine of multidiscipline big data. The Cancer Genome Atlas is a cancer database including detailed information of many patients with cancer. DrugBank is a database including detailed information of approved, investigational and withdrawn drugs, as well as other nutraceutical and metabolite structures. PubChem is a chemical compound database including all commercially available compounds as well as other synthesisable compounds. Protein Data Bank is a crystal structure database including X-ray, cryo-EM and nuclear magnetic resonance protein three-dimensional structures as well as their ligands. On the other hand, artificial intelligence (AI) is playing an important role in the drug discovery progress. The integration of such big data and AI is making a great difference in the discovery of novel targeted drug. In this review, we focus on the currently available advanced methods for the discovery of highly effective lead compounds with great absorption, distribution, metabolism, excretion and toxicity properties.
Palmitoylation of proteins plays important roles in various physiological processes, such as cell proliferation, inflammation, cell differentiation etc. However, inhibition of protein palmitoylation has led to few new drugs to date. ZDHHC5 serves as a key enzyme to catalyze palmitoylation on SSTR5 (a proven anti-proliferation receptor in pancreatic cells). Herein, we compare single-cell transcriptome data between pancreatic cancer tissues and normal pancreas tissues and identify that ZDHHC5 is a potential target to inhibit proliferation of pancreatic cancer cells. In addition, we report the repositioning of an orphan drug (Lomitapide) as an inhibitor of ZDHHC5, and we speculate that this inhibitor may be able to block palmitylation on SSTR5. Pharmacological blockade of ZDHHC5 with Lomitapide results in attenuated cancer cell growth and proliferation which collectively contributes to antitumor responses in vitro and in vivo. This is the first study, to our knowledge, to demonstrate the utility of a pharmacological inhibitor of ZDHHC5 in pancreatic cancer, representing a new class of palmitoylation targeted therapy and laying a framework for paradigm-shifting therapies targeting cancer cell palmitoylation.
The discovery of targeted drugs heavily relies on three-dimensional (3D) structures of target proteins. When the 3D structure of a protein target is unknown, it is very difficult to design its corresponding targeted drugs. Although the 3D structures of some proteins (the so-called undruggable targets) are known, their targeted drugs are still absent. As increasing crystal/cryogenic
electron microscopy structures are deposited in Protein Data Bank, it is much more possible to discover the targeted drugs. Moreover, it is also highly probable to turn previous undruggable targets into druggable ones when we identify their hidden allosteric sites. In this review, we focus on the currently available advanced methods for the discovery of novel compounds targeting proteins without 3D structure and how to turn undruggable targets into druggable ones.
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