Histone Deacetylase (HDAC) inhibitors represent a budding class of targeted anti-cancer agents. This structurally diverse group of molecules can induce growth arrest, differentiation, apoptosis, and autophagocytic cell death of cancer cells. Of the different classes of HDAC the class I and Class II are considered the main targets for cancer. For the two classes of HDAC, only a few compounds have emerged as preferential inhibitors and even fewer are able to discriminate efficiently among HDACs in the same class. This limitation has diminutive relevance to the use of HDAC inhibitors as potential anti-tumor drugs. Hence, the four HDACs of class I was modeled and about twelve known inhibitors which are currently under the phase I/II trials were docked using an efficient shape-based search algorithm and the AScore scoring function, to each of the class I HDAC members in order to identify the inhibitor or group with better pharmacological action. The molecular descriptors study and the drug score, drug likeness prediction helped in the identification of potential compounds targeting specific enzymes of HDAC family. The ranking of various groups of ligands helped in the identification of potential groups and better compound that can better target class I HDAC in an effective way.
The advent of genomic and proteomic technologies in this post-genomic era has urged the researchers to develop novel research strategies against cancer by targeting the human genes that would greatly facilitate to identify more promising treatment and to develop accurate early diagnosis for cancer. To harness the power of cancer genetic information towards better treatment we have developed a cancer gene database called CanGeneBase (CGB). It is a comprehensive data collection of cancer-related genes with the intention of helping the researchers to stay on a single platform to gain exclusive information on the genes of their interest. According to the Cancer Gene Data Curation Project, about 4,700 genes have been identified as being related to cancer. The present CanGeneBase covers about 12 different types of cancer which includes 190 unique gene entries. Each entry encompasses about 33 useful parameters to provide detailed information about specific gene. CanGeneBase is made in such a way that it can be easily accessed by either gene symbol or by the type of cancer.AvailabilityThe database is freely available at http://122.165.25.137/bioinfo/cancerdb/
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