Chemical property identification & ADME Property
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Pharmacological properties of small chemical molecule must be assessed during the initial selection or identification of a chemical lead, as well as during further lead optimization to elucidate Structure-Activity Relationships (SAR) and Structure Property Relationships (SPR), and ultimately to select the compound(s) that will enter IND-enabling studies. While it is elsewhere the scope of this chapter to discuss how a compounds absorption, distribution, metabolism, and excretion (ADME) affects its ultimate pharmacokinetics (PK), we do provide guidelines for ADME and PK assessments, benchmarks, and practical "rules of thumb" for selecting compounds with sufficient PK to be viable efficacious drugs. The goal of a wide range of in silico approaches is to predict ADME parameters from molecular structure. Lipinski's breakthrough on orally-active chemicals to identify physicochemical ranges for the high possibility of being an oral medication is noteworthy (i.e. the drug-likeness). The Rule-of-five defined the interaction between pharmacokinetic and physicochemical characteristics.
Our comprehensive Bioinformatics Database services
Types of Bioinformatics: We undertake different types of Chemical property identification & ADME Property for lead optimization to elucidate Structure-Activity Relationships (SAR) and Structure Property Relationships (SPR).
Wide range of Sources: NCBI, BLAST, Pubmed, Pubmed Nucleotide, Pubmed Protein, Pubmed Gene, Pubmed Sequence.
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Pubrica provides comprehensive bioinformatics research work publishing assistance for various publications, journals, and books. With our writing services, you can now turn your ideas into Project writing, Proposal writing, Research Writing, Thesis writing and Manuscript writing. Science, Technology, Engineering, and Mathematics (STEM) experts with a therapeutic background. It is now simple to publish a research work or obtain regulatory drug approval. With Pubrica's help, you can save time and money.
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Bioinformatics tools extract useful information from many molecular biology and biological databases and perform sequence and structural analysis. Bioinformatics tools aid in the comparison, research, and interpretation of genetic and genomic data.
To predict the 2D structure of a protein molecule, a variety of tools are available. E.g. ExPASy (the Expert Protein Analysis System), developed by the Swiss Institute of Bioinformatics, is one of the essential tools (SIB).
Pubrica will provide a particular time; it depends upon your research work. We're here to help you understand the work you've done and respond to any questions you could have. You can contact us at any time, even after your service has ended.
Homology-based approaches predict a gene by aligning a protein (or RNA sequence in the form of full-length mRNA, cDNA, or EST) with the genome sequence to be annotated. The prediction is influenced by the known sequence (also known as evidence).
Proteomics data analysis, Comparative genomics, Functional genomics, Phylogeny in the protein evolutionary process, and Protein modeling are all examples of bioinformatics being used to predict the function of actual gene products.