Photo of Adam D. Schuyler, Ph.D.

Adam D. Schuyler, Ph.D.

Assistant Professor, Department of Molecular Biology and Biophysics
Academic Office Location:
Molecular Biology and Biophysics
UConn Health
263 Farmington Avenue
Farmington, CT 06030-3305
Phone: 860-679-1496
Fax: 860-679-3408
Email: schuyler@uchc.edu

Molecular Biology & Biochemistry Graduate Program

NMRbox [National Center for Biomolecular NMR Data Processing and Analysis]

Curriculum Vitae:
B.A.Williams CollegeMathematics
Ph.D.Johns Hopkins UniversityMechanical Engineering

Post-Graduate Training
PostdoctoralUniversity of Connecticut Health CenterMMSB
PostdoctoralUniversity of MichiganNeurology / Biophysics

Name of Award/HonorAwarding Organization
NIH Cancer Research Training Award Fellowship, Structural Glycobiology Section, LECB, NCINIH
NIH Cancer Research Training Award Fellowship, Molecular Structure Section, LECB, NCINIH
Elected to Sigma XiWilliams College
Abel Wolman Fellowship: Awarded to an outstanding first-year doctoral candidate in Whiting School of EngineeringJohns Hopkins University

Allosteric Regulation
Allosteric activation occurs when the binding of an allosteric effector at one site triggers a change in binding affinity at a second site. The modern view of this regulatory process implicates a conformational redistribution as the response to the allosteric effector. Our goal is to develop computational models that explicitly describe the ensemble of dynamics accessible to a receptor/ligand system; changes within the ensemble are identified and are the basis for elucidating the mechanism of the associated biological function. Our study of SOD1 mutants has revealed allosteric pathways potentially involved in ALS (Lou Gehrig's Disease) and our study of prolactin aims to reveal its activation mechanism.

Nonuniform Sampling of Multidimensional NMR
Nonuniform sampling (NUS) approaches have become commonplace in multidimensional NMR, enabling dramatic reductions in experiment time, increases in sensitivity and/or increases in resolution. Traditional approaches to NUS ignore the multi-component nature of hypercomplex data; samples include either all the components of a data value or none of them (we call this full-component NUS). In contrast, we have explored the idea of collecting a subset of the hypercomplex components for each data value (we call this partial-component NUS). In general, partial-component NUS cannot be characterized by classic means (i.e. the DFT-Convolution Theorem). In order to make use of the additional degrees of freedom afforded by partial-component NUS, we developed a modified DFT-Convolution Theorem, which provides a robust, quantitative framework for optimizing NUS.

Accepting Lab Rotation Students: Fall '17, Spring '18

Journal Articles

Book Chapters

  • Nonuniform Sampling in Multidimensional NMR
    J.C. Hoch, M.W. Maciejewski, M. Mobli, A.D. Schuyler and A.S. Stern Encyclopedia of Magnetic Resonance 2012 Mar;


  • Another barrier to reproducibility
    MW Maciejewski, AD Schuyler, MR Gryk, II Moraru, PR Romero, EL Ulrich, HR Eghbalnia, M Livny, F Delaglio and JC Hoch Science 2017 Jan;354(6317):1240-1241
Title or AbstractTypeSponsor/EventDate/YearLocation
NMRbox: National Center for Biomolecular NMR Data Processing and AnalysisPosterExperimental Nuclear Magnetic Resonance Conference2016Pittsburgh, PA
Nonuniform sampling: theory and NMRbox toolsTalkChicago Area NMR Discussion Group Meeting2016Milwaukee, WI
A computational model of allosteric activation: insights into SOD1-linked ALSTalkUConn Health, Center for Cell Analysis and Modeling Department Seminar2016Farmington, CT
Partial-Component Nonuniform SamplingTalkNew York Structural Biology Center2015New York, NY, USA
Ring Current Shifts: A geometric characterization and survey of the BMRBPosterGordon Research Conference: Computational Aspects of Biomolecular NMR2015Il Ciocco, Italy
Hypercomplex Multidimensional NMR Employing Partial-Component Nonuniform SamplingTalkExperimental Nuclear Magnetic Resonance Conference2014Boston, MA
Molecular Modeling Reveals Molecular FunctionTalkUniversity of Connecticut Health Center2013Farmington, CT
Characterizing Sensitivity for Hypercomplex Multidimensional NMR Employing Partial-Componentm SubsamplingPosterGRC: Computational Aspects of Biomolecular NMR2013Mount Snow, Vermont
Characterizing Sensitivity for Hypercomplex Multidimensional NMR Employing Partial-Component SubsamplingPosterUpstate NY NMR Symposium2013Troy, NY
Improved Metrics for Predicting Performance of Nonuniformly Sampled SchedulesPosterExperimental Nuclear Magnetic Resonance Conference2011Pacific Grove, California
Binding Profiles Based on Normal Mode Analysis as a Foundation for a Unified Approach to Allosteric Activation of Prolactin ReceptorPosterBiophysical Society Annual Meeting2011Baltimore, Maryland
Nonuniform Sampling for Improving Resolution in Multidimensional NMRPosterExperimental Nuclear Magnetic Resonance Conference2010Daytona Beach, Florida
Characterization and Optimization of Nonuniform Sampling for Multidimensional NMR ExperimentsPosterBiophysical Society Annual Meeting2010San Francisco, California
Computational Models of Allostery: Potential Mechanisms for Disease ControlTalkUniversity of Connecticut Health Center2009Farmington, Connecticut
Computational Models of Allostery: Potential Mechanisms for Disease ControlTalkBoston University2009Boston, Massachusetts
Computational Methods for Predicting Sites of Functionally Important DynamicsTalkBiophysical Society Annual Meeting2009Boston, Massachusetts
Computational Analysis of Familial Amyotrophic Lateral Sclerosis Causing Mutations of Cu-Zn Superoxide DismutasePosterAmerican Neurological Association Annual Meeting2008Salt Lake City, Utah
Normal Mode Directed Exploration of Conformation Space as a Tool for Studying Macromolecular InteractionsPosterBiophysical Society Annual Meeting2008Long Beach, California
Iterative Cluster Normal Mode Analysis (icNMA): A Tool for Traversing the Conformation Energy Landscape with an Application to ALSPosterBiophysical Society Annual Meeting2007Baltimore, Maryland
Biological Function Determined by Cluster-NMA on Very Large StructuresTalkJohns Hopkins University2004Baltimore, Maryland
Efficient Determination of Low-Frequency Modes on Large Protein Structures by Cluster-NMAPosterBiophysical Society Annual Meeting2004Baltimore, Maryland
Cluster-NMA: A Computationally Efficient, Rigid-Body-Based, Normal Mode Analysis ToolPosterInstitute for Biophysical Research Annual Meeting2003Linthicum Heights, Maryland
Protein Dynamics ModelingPosterThe 7th Johns Hopkins Folding Meeting2003Berkeley Springs, West Virginia
A Dual Approach to Triangle Sequences: A Multidimensional Continued Fraction AlgorithmTalkJoint Meetings of the MAA and AMS1999Providence Rhode Island