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TADAM: Target aware drug activity model for focused library design
27 Nov 2023In this scientific poster, Selvita highlights challenges in creating target-specific libraries for disease-related targets, emphasizing the need for accessibility, relevance, diversity, and specific chemical characteristics. The challenges include the scale of large compound databases, slow progress due to a lack of activity data for the target of interest, and limitations in the diversity of known active compounds. The solution presented involves a proprietary deep learning model that predicts compound activity towards any target's pocket. This model facilitates the virtual screening of large compound libraries and provides insights into the essential parts of compounds for predicted activity.
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SelvitaSelvita provides its clients with effective drug discovery support based on broad capabilities and deep expertise in small molecule drug discovery. The in vitro pharmacology support offering at Selvita covers drug discovery phases from target validation through to preclinical candidate selection. We provide a versatile protein-to-cell approach for the development of pharmacologically active compounds and biologics.
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AntibodiesAntibodies are used in techniques such as confocal and fluorescence microscopy, flow cytometry, ELISA, ELISPOT, immunohistochemistry, western blotting and immunopreciptation. Select specific antigen reactivity, high specific affinity, low non-specific binding, monoclonal or polyclonal, primary or secondary antibodies and associated conjugates such as an enzyme or dye for visualization.Combinatorial ChemistryCombinatorial chemistry, also known as combichem, is a technique used in drug discovery to create libraries of structurally related compounds. A library is generated by synthesis with a chemical reactor system or by computer-based modeling of compound combinations. When undertaking combinatorial chemistry consider reagents, buffers, resins and standards.ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.PCR and Thermal CyclingPolymerase chain reaction (PCR) kits and thermal cyclers are used for the in vitro amplification of DNA permitting subsequent analysis and experimental procedures. Explore a range of high-quality polymerase, primers and nucleotides or simplify your workflow with a PCR mastermix. Find reverse transcription PCR (RT-PCR) and cDNA synthesis kits for RNA products and libraries. Quantitatively measure the amplification of DNA with real-time PCR (qPCR) and droplet digital PCR (ddPCR) kits and systems, and discover automated PCR setup solutions to increase throughput. Alternative DNA amplification methods also include recombinase polymerase amplification (RPA) kits. Find the best PCR kits and thermal cyclers and purification equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Integration ServicesIncorporate lab systems, software and equipment with integration services.Data MiningData mining is an important process for extracting information, patterns and trends from data. Data mining software, databases, reference materials and storage packages are available to process lab data.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.Protein PurificationProtein purification is a vital step in drug discovery, therapeutics, biotech and life science research. The purification process typically involves subcellular or membrane protein extraction with cell lysis kits, separation of proteins from cell debris by filtration or spin columns, and the isolation of proteins of interest from other proteins and impurities with affinity purification (including fusion protein tags and antibody binding proteins A, G and L), immunoprecipitation or chromatographic methods, such as ion exchange, size exclusion and immobilized metal affinity chromatography. All purification methods come in multiple formats for your laboratory needs, including agarose or magnetic beads, resins, columns and filter plates. Find the best protein purification equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Protein CrystallographyProtein crystallization is the process of crystallizing purified proteins for 3D structure analysis by x-ray crystallography. The main methods of protein crystallization include sitting drop, hanging drop and microbatch. It is important to control parameters such as pH, temperature and concentration. Following crystallization, detectors and software are used for data collection and analysis.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.Data ManagementBig DataBig data is described as data sets that are extremely large and complex, and can be challenging to process.Drug DevelopmentDrug development refers to the process of bringing a new drug to market.