In the Single-Player practice simulation, you will compete against a computer-controlled opponent, enabling you to familiarize yourself with the Music2Go simulation. Launch the Music2Go Single Player practice simulation. PRACTICE MAKING DECISIONS IN THE SIMULATION Review the Music2Go intro videos and intro manual. The URL for the simulation is REVIEW SIMULATION INSTRUCTIONS AND MATERIALSĪfter logging in, click the “Manuals and Videos Tab” on the course page.
#Music2go simulation results registration
On the first day of class your instructor will provide you with your personal login information and instructions pertaining to registration for the simulation. Be sure to contact your instructor with any questions or concerns regarding the simulation. Take your time this first week and familiarize yourself with the simulation functions and dashboard. Here you will be able to roll forward through decision periods or roll back as required to test strategy, while competing against a computer-controlled opponent. You will start with the Single-Player version in lesson 1 & 2 which will allow you to become familiar with the interface. The simulation is structured into two versions, a Single-Player and a Multi-Player.
Your challenge is to build your firm into the leading player in the market.
You will be responsible for making key functional decisions involving price, forecasting, marketing & promotion, distribution, and R&D. You will analyze market research and collaborate with members of your team to create your own strategic marketing plan, while keeping to a fixed budget. As you move forward you will be given control over sales promotion, product development, and the opportunity to launch new products. You will initially have responsibility over price, retail margin, sales forecast, and advertising decisions for a single product. Music2Go is a marketing simulation that will give you the opportunity to formulate and implement your own sales & marketing campaign for an MP3 Player company. These results systematically validate the reliability of a physics-based approach to evaluate protein-ligand binding interactions.Music2Go Simulation Introduction & Single Player PracticeĪn online simulation called Music2Go will be used to supplement your learning. In addition, some predicted ligand-binding modes are moderately refined during MD simulations. The MD simulation demonstrates a robust performance across all seven different protein classes. We select 56 protein targets (of 7 different protein classes) and 560 ligands (280 actives, 280 decoys) and show 22% improvement in ROC AUC (area under the curve, receiver operating characteristics curve), from an initial value of 0.68 (AutoDock Vina) to a final value of 0.83.
MD trajectories are processed by evaluating ligand-binding stability using root-mean-square deviations. In this work, we present a high-throughput protein-ligand complex molecular dynamics (MD) simulation that uses the output from AutoDock Vina to improve docking results in distinguishing active from decoy ligands in a directory of useful decoy-enhanced (DUD-E) dataset. Structure-based virtual screening relies on classical scoring functions that often fail to reliably discriminate binders from nonbinders.
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