URL: | http://zoulab.dalton.missouri.edu/SM-TF |
Full name: | Small Molecule-Transcription Factor structural database |
Description: | SM-TF is a Small Molecule-Transcription Factor structural database.The SM-TF database collects available 3D structures of small molecule-transcription factor complexes from Protein Data Bank (PDB). Totally, SM-TF contains 934 entries, covering 176 TFs from a variety of species.SM-TF serves as a targetable TF database to assist structure-based drug design. The database is suitable for both traditional virtual screening (searching potential ligands for a given target) and inverse virtual screening (searching potential targets for a given ligand). |
Year founded: | 2016 |
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Country/Region: | United States |
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University/Institution: | University of Missouri |
Address: | Dalton Cardiovascular Research Center University of Missouri-Columbia 134 Research Park Drive Columbia, MO 65211 USA |
City: | Columbia |
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Country/Region: | United States |
Contact name (PI/Team): | Xiaoqin Zou |
Contact email (PI/Helpdesk): | zoux@missouri.edu |
SM-TF: A structural database of small molecule-transcription factor complexes. [PMID: 27010673]
Transcription factors (TFs) are the proteins involved in the transcription process, ensuring the correct expression of specific genes. Numerous diseases arise from the dysfunction of specific TFs. In fact, over 30 TFs have been identified as therapeutic targets of about 9% of the approved drugs. In this study, we created a structural database of small molecule-transcription factor (SM-TF) complexes, available online at http://zoulab.dalton.missouri.edu/SM-TF. The 3D structures of the co-bound small molecule and the corresponding binding sites on TFs are provided in the database, serving as a valuable resource to assist structure-based drug design related to TFs. Currently, the SM-TF database contains 934 entries covering 176 TFs from a variety of species. The database is further classified into several subsets by species and organisms. The entries in the SM-TF database are linked to the UniProt database and other sequence-based TF databases. Furthermore, the druggable TFs from human and the corresponding approved drugs are linked to the DrugBank. © 2016 Wiley Periodicals, Inc. |