Abstract
Plants have been used as a source of medicine since historic times, and herbal drugs play an important role in the treatment of various ailments. Several commercially important modern medicines are of plant-based origin. One of the main purposes to investigate medicinal plants is to understand the main extracts from plants like alkaloids, flavonoids, etc., which can be used as therapeutics for human diseases. Bioinformatics play a crucial role in the analysis and interpretation of high-throughput data generated using molecular biology-based techniques. Bioinformatics approaches leverage plant-based knowledge discovery by offering new tools for the identification of genes and pathways involved in the production of secondary metabolites and also help to identify therapeutically important active compounds. Here we review bioinformatics strategies associated with important ethnic medicinal plants.
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- AP-1:
-
Activator protein 1
- BAX:
-
BCL2-associated X protein
- Bcl-2:
-
B-cell lymphoma 2
- cAMP:
-
Cyclic adenosine monophosphate
- c-Fos:
-
Cellular oncogene Fos
- CREB:
-
cAMP response element-binding protein
- COX2:
-
Cyclo oxygenase2
- CYP3A4:
-
Cytochrome P450, family 3, subfamily A, polypeptide 4
- Egf:
-
Epidermal growth factor
- EST:
-
Expressed sequence tags
- HTML:
-
HyperText Markup Language
- HTTP:
-
Hypertext Transfer Protocol
- IKK:
-
I kappa B kinase
- IUPAC:
-
International Union of Pure and Applied Chemistry
- MCF-7:
-
Michigan Cancer Foundation-7 (Breast cancer cell line)
- MDR:
-
Multi drug resistance
- NF-KB:
-
Nuclear transcription factor kappa B
- NIK:
-
NF-κB-inducing kinase
- ODC:
-
Ornithine decarboxylase
- PhP:
-
Hypertext preprocessor
- RDBMS:
-
Relational Database Management System
- SQL:
-
Structured Query Language
- TNF-α:
-
Tumour necrosis factor alpha
- TPA:
-
Tissue plasminogen activator
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James, P., Silpa, S., Keshavachandran, R. (2014). Bioinformatics Strategies Associated with Important Ethnic Medicinal Plants. In: P.B., K., Bandopadhyay, R., Suravajhala, P. (eds) Agricultural Bioinformatics. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1880-7_10
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