With the advent of AI-powered protein design tools, protein-based therapeutics may no longer be constrained by the limits imposed by natural selection.
WASHINGTON, DC - SEPTEMBER 30: U.S. President Donald Trump shakes hands with Pfizer CEO Albert Bourla (L) as he announces a deal with the company to lower Medicaid drug prices and to sell certain ...
Abstract: To address the challenges posed by the deployment of microservices of future end-user applications in the cloud continuum, a performance prediction model working together with a network ...
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
Circular RNAs (circRNAs) are a unique class of non-coding RNAs with stable covalently closed structures that play key regulatory roles in gene expression and drug response. However, experimental ...
Abstract: Accurately predicting drug-target affinity (DTA) is a critical step in drug discovery and design. By utilizing deep learning methods for DTA prediction, the drug development cycle can be ...
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