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SYNTHIA™ Retrosynthesis Software for Drug Discovery

Merck
11 Jul 2024
SYNTHIA™ Retrosynthesis Software for Drug Discovery

Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules. The software is a complete toolkit for drug design, accelerating the process and offering end-to-end solutions for small molecule compounds.

About the company

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Merck

The Life Science business of Merck KGaA, Darmstadt, Germany, which operates as MilliporeSigma in the U.S. and Canada, has some 22,000 employees and 59 manufacturing sites worldwide, with a portfolio of more than 300,000 products focused on scientific discovery, biomanufacturing and testing services.

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Molecular Recognition SoftwareMolecular recognition software is widely used to analyze DNA, RNA, proteins and chemicals. The software can be useful for graphical viewing, comparative analyses, high-throughput screening, genomics, proteomics and phylogenetics. Molecular recognition software uses bioinformatics tools and analyses such as BLAST searches and generates structural predictions, 3D structures and sequencing information.SNPs TechnologySingle nucleotide polymorphisms (SNPs) are individual base variations in a DNA sequence. SNPs are used in research to study predispositions to disease and drug discovery. Products for studying single nucleotide polymorphisms include SNP arrays and detection systems to detect polymorphisms, SNP typing systems for genotyping DNA, and PCR to amplify specific SNPs.Medicinal ChemistryMedicinal chemistry is a broad discipline encompassing the design, identification, synthesis and development of chemicals in drug discovery. It includes a number of techniques covering structural biology, synthetic chemistry and molecular biology. Technologies used in medicinal chemistry include ADME, lab-on-a-chip, high content screening and assay assembly.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.

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