• AromaDb- A Database of Medicinal and Aromatic Plant’s Aroma Molecules With Phytochemistry and Therapeutic Potentials

  • AromaDb database is a comprehensive electronic library of aroma molecules of medicinal and aromatic plants of Indian origin, as well as foreign and include detail information about aroma plants, description, plants varieties, plants accessions, chemotypes, essential oils, oil yields and constituents, chromatograms, major and minor compounds, structural elucidation data, structural data (2D and 3D) of very small size volatile molecules (< 300 molecular weight) and medium size molecules (< 500 molecular weight), physico-chemical properties, biological pathways information and cross references. Here, aroma compounds classified by structure as esters, linear terpenes, cyclic terpenes, aromatic, amines, alcohols, aldehydes, ketones, lactones, thiols and miscellaneous compounds.

    Publication: Kumar Y, Prakash O, Tripathi H, Tandon S, Gupta MM, Rahman L-U, Lal RK, Semwal M, Darokar MP and Khan F (2018) AromaDb: A Database of Medicinal and Aromatic Plant’s Aroma Molecules With Phytochemistry and Therapeutic Potentials. Front. Plant Sci. 9:1081. doi: 10.3389/fpls.2018.01081

  • DbMDR- A Relational Database for Multidrug Resistance Genes as Potential Drug Targets

    DbMDR is non‐redundant reference database of multidrug resistance (MDR) genes and their orthologs acting as potential drug targets. Drug resistance is a common phenomenon of pathogens, creating a serious problem of inactivation of drugs and antibiotics resulting in occurrence of diseases. Apart from other factors, the MDR genes present in pathogens are shown to be responsible for multidrug resistance. Much of the unorganized information on MDR genes is scattered across the literature and other web resources. Thus, consolidation of such knowledge about MDR genes into one database will make the drug discovery research more efficient. Mining of text for MDR genes has resulted into a large number of publications but in scattered and unorganized form. This information was compiled into a database, which enables a user not only to look at a particular MDR gene but also to find out putative homologs based on sequence similarity, conserved domains, and motifs in proteins encoded by MDR genes more efficiently. At present, DbMDR database contains 2843 MDR genes characterized experimentally as well as functionally annotated with cross‐referencing search support. The DbMDR database ( is a comprehensive resource for comparative study focused on MDR genes and metabolic pathway efflux pumps and intended to provide a platform for researchers for further research in drug resistance.

    Publication: Gupta S, Mishra M, Sen N, Parihar R, Dwivedi GR, Khan F, Sharma A. DbMDR: a relational database for multidrug resistance genes as potential drug targets. Chemical biology & drug design. 2011 Oct;78(4):734-8.