Da Vinci Supply Chain Business Suite
Da Vinci enhances each phase of your fulfillment workflow, starting with the arrival of inventory and continuing until orders are dispatched from the warehouse. Additionally, the Da Vinci platform connects effortlessly with your complete supply chain, which encompasses ERP, OMS, and EDI systems, ensuring a smooth journey from the moment a customer places an order to when it is shipped out. This integration not only streamlines processes but also improves overall operational efficiency.
Learn more
Cortex
The Cortex Internal Developer Portal empowers engineering teams to easily access insights regarding their services, leading to the delivery of superior software products. With the use of scorecards, teams can prioritize their key focus areas like service quality, adherence to production standards, and migration processes. Additionally, Cortex's Service Catalog connects seamlessly with widely-used engineering tools, providing teams with a comprehensive understanding of their architectural landscape. This collaborative environment enhances the quality of services while promoting ownership and pride among team members. Furthermore, the Scaffolder feature enables developers to quickly set up new services using pre-designed templates crafted by their peers in under five minutes, significantly speeding up the development process. By streamlining these tasks, organizations can foster innovation and efficiency within their engineering departments.
Learn more
VeraChem
Established in 2000, VeraChem LLC is dedicated to advancing the realms of computer-aided drug discovery and molecular design by developing sophisticated computational chemistry methods that integrate groundbreaking scientific principles with real-world research applications. A fundamental component of the company’s approach to product innovation is providing high-performance software solutions paired with comprehensive user assistance. VeraChem’s software currently boasts capabilities such as predicting protein-ligand and host-guest binding affinities, executing rapid and accurate computations of partial atomic charges for drug-like substances, and calculating energies and forces using popular empirical force fields. Furthermore, the software includes features for the automatic generation of alternative resonance forms for drug-like molecules, an efficient conformational search powered by the Tork algorithm, and the automated detection of topological and three-dimensional molecular symmetries. The modular design of VeraChem’s software packages facilitates adaptability and flexibility, allowing users to tailor these tools to meet a variety of research demands effectively. By providing such versatile resources, VeraChem empowers researchers to enhance their investigative efforts in drug discovery.
Learn more
Aurora Drug Discovery
Aurora applies concepts from quantum mechanics and thermodynamics alongside an advanced continuous water model to evaluate solvation effects when determining the binding affinities of ligands. This approach is notably different from the conventional scoring functions that are commonly used to predict binding affinities. By incorporating both entropy and aqueous electrostatic elements into their calculations, the algorithms developed by Aurora provide notably more accurate and dependable estimates of binding free energies. The binding free energy, a key thermodynamic measure, fundamentally dictates the interaction between a ligand and a protein and is directly associated with the experimentally measurable inhibition constant (IC50). Various elements, such as electrostatic interactions, quantum phenomena, solvation dynamics, and the statistical behavior of molecules, all play a role in influencing this free energy (F). The non-additive characteristics of F arise primarily from two key components: the synergistic effects of electrostatic and solvation energies, as well as the entropy present in the system. Gaining a comprehensive understanding of these factors enhances the insight into the molecular interactions that are crucial for effective drug design and development.
Learn more
