grant

Molecular Computation Core Facility

Organization UNIVERSITY OF MONTANALocation MISSOULA, UNITED STATESPosted 10 Aug 2021Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025AccelerationAddressAreaBiochemistryBiological ChemistryBiophysicsCOBRECenter of Biomedical Research ExcellenceCenters of Research ExcellenceChargeCollaborationsCommunitiesComputational toolkitComputer ModelsComputer softwareComputerized ModelsConsultationsContract ServicesCore FacilityDataData SetDockingDrug DesignEducational workshopEnsureEnvironmentFeedbackFluorescence SpectroscopyGoalsIndividualInfrastructureInvestigationInvestigatorsLaboratoriesLibrariesLigandsMethodsMissionModelingMolecular ComputationsMolecular Dynamics SimulationMontanaNaturePhasePositionPositioning AttributeProcessProteinsQuantum MechanicsReceptor ProteinResearchResearch PersonnelResearch ResourcesResearchersResourcesServicesSingle Crystal DiffractionSoftwareStructureSystemTechniquesTestingTrainingUniversitiesWorkshopX Ray CrystallographiesX-Ray CrystallographyX-Ray Diffraction CrystallographyX-Ray/Neutron CrystallographyXray Crystallographybasebasesbiophysical foundationbiophysical principlesbiophysical sciencescluster computingcomparativecomputational modelingcomputational modelscomputational resourcescomputational toolboxcomputational toolscomputational toolsetcomputer based modelscomputerized modelingcomputerized toolscomputing resourcesconsultationcost effectivedata griddatagriddeep learning algorithmdesigndesigningdistributed computingin silicoinsightmolecular dynamicsmolecular mechanicsoperationoperationsprogramsreceptorsynergismtooluser friendly computer softwareuser friendly software
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Full Description

The Molecular Computation Core Facility (MCCF) provides the research community at the Center for
Biomolecular Structure and Dynamics (CBSD) an environment tuned to address and facilitate their

computational biochemistry investigations. The focus of the Core is to provide informed guidance to

help investigators design and implement computational modeling strategies that appropriately and

efficiently meet their research needs. To accomplish this goal, we offer our expertise, for both

contracted services and training, in our expanding library of leading-edge modeling and discovery

software platforms, including for structure-based drug design, traditional and accelerated molecular

dynamics, ligand-receptor docking, quantum mechanics calculations, and comparative protein

modeling. Our wide array of tools is matched with powerful, computation-oriented hardware, providing

CBSD-affiliated investigators with ample resources and options to reach their research goals. Due to

the theoretical nature of research at the MCCF, we promote computation strategies that integrate

feedback from experimental methods. This approach not only helps validate in silico models, but also

complements experimental data by providing insights into functionally relevant aspects of a system that

are inaccessible to experimental approaches such as X-ray crystallography and fluorescence

spectroscopy. The synergy from integrating theoretical and empirical approaches uniquely positions the

MCCF to drive collaborative efforts between CBSD-affiliated researchers and other Core facilities.

Grant Number: 5P30GM140963-05
NIH Institute/Center: NIH

Principal Investigator: BRUCE BOWLER

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