Erik Nordquist

Work

University of Maryland, Baltimore

|

Postdoctoral Research Fellow

US

→

University of Massachusetts

|

Graduate Student

US

→

Education

University of Massachusetts Amherst

United States of America
→
Ph.D.

The College of Idaho

United States of America
→
B.Sc.

Publications

Prediction of surfactant-mediated dissolution of poorly soluble drugs from drug powder

European Journal of Pharmaceutical Sciences

journal-article

Computational modeling of PROTAC ternary complexes as ensembles using SILCS-PROTAC

preprint

Combined Physics- and Machine-Learning-Based Method to Identify Druggable Binding Sites Using SILCS-Hotspots

Journal of Chemical Information and Modeling

journal-article

Small Molecule NS11021 Promotes BK Channel Activation by Increasing Inner Pore Hydration

Journal of Chemical Information and Modeling

journal-article

Combined physics- and machine-learning-based method to identify druggable binding sites using SILCS-Hotspots

preprint

Combined physics- and machine-learning-based method to identify druggable binding sites using SILCS-Hotspots

preprint

Machine Learning Generation of Dynamic Protein Conformational Ensembles

Molecules

journal-article

Inner pore hydration free energy controls the activation of big potassium channels

Biophysical Journal

journal-article

Inner pore hydration free energy controls the activation of big potassium channels

Biophysical Journal

journal-article

Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels

PLOS Computational Biology

journal-article

Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channels

preprint

Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels

bioRxiv

other

Machine Learning Generation of Dynamic Protein Conformational Ensembles

Molecules

journal-article

Machine Learning Generation of Dynamic Protein Conformational Ensembles

Molecules

journal-article

Computationally-Aided Modeling of Hsp70–Client Interactions: Past, Present, and Future

The Journal of Physical Chemistry B

journal-article

Computationally-Aided Modeling of Hsp70-Client Interactions: Past, Present, and Future

Journal of Physical Chemistry B

journal-article

Using Metadynamics To Explore the Free Energy of Dewetting in Biologically Relevant Nanopores

The Journal of Physical Chemistry B

journal-article

Using Metadynamics To Explore the Free Energy of Dewetting in Biologically Relevant Nanopores

Journal of Physical Chemistry B

journal-article

Physics-based modeling provides predictive understanding of selectively promiscuous substrate binding by Hsp70 chaperones

PLOS Computational Biology

journal-article

Physics-based modeling provides predictive understanding of selectively promiscuous substrate binding by Hsp70 chaperones

PLoS Computational Biology

journal-article

Accelerating the Generalized Born with Molecular Volume and Solvent Accessible Surface Area Implicit Solvent Model Using Graphics Processing Units

Journal of Computational Chemistry

journal-article

Accelerating the Generalized Born with Molecular Volume and Solvent Accessible Surface Area Implicit Solvent Model Using Graphics Processing Units

Journal of Computational Chemistry

journal-article