Cerella Description
AI-powered drug discovery is a proven technology.
Cerella extracts hidden insights from your drug discovery data to reveal the best compounds and most valuable experiment for your project.
It can make confident predictions by accurately filling in the missing values. This is especially useful for expensive downstream experiments, which are impossible to predict using other methods. This allows you to do more with sparse and limited data sets.
Cerella Alternatives
A cloud LIMS that tracks samples, tests results, and manages inventory for life science research, industrial QC labs, and biotech/NGS. Includes regulatory support for CLIA and HIPAA, Part 11 and ISO 17025. The quality, security, traceability, and traceability for samples is crucial to a lab's success. Laboratory professionals can use the Lockbox LIMS system to manage their samples. They have full visibility of every step of the sample's journey from accession to long-term storage. LIMS analysis is more than just tracking results. Lockbox's multilayered sample storage and location management functionality lets you define your lab's storage structure using a variety location options: rooms and storage units, shelves and racks, boxes and boxes.
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QBench allows you to keep track of all your samples and where they are located in the workflow using a single system. QBench eliminates the need for spreadsheets, shared folders in the network, and paper-based tracking systems. You can view hundreds of PDF reports/COAs before publishing or emailing. You can generate barcodes and create labels that you can customize for your samples. Compatible with standard printers and scanners. QBench's billing module allows you to create and send invoices right from the system. You can see counts and latencies for different data types in QBench. This includes metrics like turnaround time, sample counts per test, sample delay, and many others. QBench makes it easy for you to gather the data your lab needs for the assays you perform.
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LiveDesign
LiveDesign serves as an integrated informatics solution that empowers teams to accelerate their drug discovery initiatives through collaborative design, experimentation, analysis, tracking, and reporting on a unified platform. It allows for the collection of innovative ideas alongside experimental and modeling data seamlessly. Users can develop and archive new virtual compounds within a centralized repository, assess them with sophisticated models, and prioritize the most promising designs. By merging biological data and model outputs from various corporate databases, the platform leverages advanced cheminformatics to provide a comprehensive analysis of all information simultaneously, facilitating quicker compound development. The platform employs cutting-edge physics-based methodologies along with machine learning to enhance prediction accuracy significantly. Teams can collaborate in real-time, regardless of location, enabling them to share concepts, conduct tests, make revisions, and progress chemical series while maintaining a clear record of their work. This not only fosters innovation but also ensures that projects remain organized and efficient throughout the drug discovery process.
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VeraChem
Founded in 2000, VeraChem LLC aims to enhance the field of computer-aided drug discovery and molecular design by creating advanced computational chemistry techniques that merge innovative basic science with practical applications in research. A key aspect of the company's strategy for product development lies in delivering efficient, high-performance software solutions along with extensive user support. Among the current capabilities of VeraChem's software are predictions for protein-ligand and host-guest binding affinities, rapid and precise calculations of partial atomic charges for drug-like molecules, and the computation of energies and forces utilizing widely-used empirical force fields. Additionally, the software features automatic generation of alternate resonance forms for drug-like compounds, a robust conformational search enabled by the Tork algorithm, and the automatic identification of topological and three-dimensional molecular symmetries. The modular code base of VeraChem’s software packages allows for flexibility and adaptability in meeting diverse research needs, ensuring that users can leverage these tools effectively for their specific applications.
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Company Details
Company:
Optibrium
Year Founded:
2009
Headquarters:
United Kingdom
Website:
optibrium.com/products/cerella/
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Online Support
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