Richard Van
Stephens College(US)Massachusetts Institute of Technology(US)
Publications by Year
Research Areas
Protein Structure and Dynamics, Alzheimer's disease research and treatments, Computational Drug Discovery Methods, Machine Learning in Materials Science, Neuroscience and Neuropharmacology Research
Most-Cited Works
- → Turn-on chemiluminescence probes and dual-amplification of signal for detection of amyloid beta species in vivo(2020)116 cited
- → Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions(2021)105 cited
- → Assessment of cholesterol homeostasis in the living human brain(2022)39 cited
- → Design, Synthesis, and Evaluation of 18F-Labeled Monoacylglycerol Lipase Inhibitors as Novel Positron Emission Tomography Probes(2019)31 cited
- → In vivo three-dimensional brain imaging with chemiluminescence probes in Alzheimer’s disease models(2023)28 cited
- → Machine learning based implicit solvent model for aqueous-solution alanine dipeptide molecular dynamics simulations(2023)28 cited
- → Novel Reversible-Binding PET Ligands for Imaging Monoacylglycerol Lipase Based on the Piperazinyl Azetidine Scaffold(2021)21 cited
- → Accelerating Ab Initio Quantum Mechanical and Molecular Mechanical (QM/MM) Molecular Dynamics Simulations with Multiple Time Step Integration and a Recalibrated Semiempirical QM/MM Hamiltonian(2022)19 cited
- → Synthesis and preliminary studies of 11C-labeled tetrahydro-1,7-naphthyridine-2-carboxamides for PET imaging of metabotropic glutamate receptor 2(2020)19 cited
- → Development of a highly-specific 18F-labeled irreversible positron emission tomography tracer for monoacylglycerol lipase mapping(2021)16 cited