Author

G. Kuenze

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 10 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Approach:deep learning· 5 Approach:experimental assay· 5 Assay:protein structure· 5 Research Focus:protein structure prediction· 4 Research Focus:protein folding & dynamics· 3 Research Focus:benchmarking· 2

Frequent Co-Authors

J. Meiler· 10 shared A. L. George· 4 shared C. G. Vanoye· 4 shared C. R. Sanders· 3 shared C. Sanders· 3 shared A. M. Duran· 2 shared E. N. N. Okwei· 2 shared H. Huang· 2 shared

Activity by Year

2017-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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10 shared papersBiophysics

J. Meiler

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11 papers

Recent·Most cited

Pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction

K. V. Ledwitch, G. Kuenze, K. Larochelle, E. N. N. Okwei, L. Pankewitz, S. Ganguly, H. L. Darling, I. Coin, J. Meiler

The paper improves integral membrane protein structure prediction by integrating paramagnetic NMR restraints with RosettaNMR, achieving better model accuracy and sampling for DsbB.

bioRxiv · Sep 14, 2022 · PreprintBiophysics

Molecular simulations reveal a mechanism for enhanced allosteric coupling between voltage-sensor and pore domains in KCNQ1 explaining its activation by ML277

G. Kuenze, C. G. Vanoye, M. C. Wilkinson, R. R. Desai, S. Adusumilli, C. R. Sanders, A. L. George, J. Meiler

bioRxiv · May 31, 2022 · PreprintBiophysics

First crystal structure of a non-canonical amino acid linked to a paramagnetic lanthanide tag facilitates protein structure determination using NMR-derived restraints

E. N. N. Okwei, S. Ganguly, H. L. Darling, J. M. Harp, A. Gulsevin, I. Coin, H. Mchaourab, K. Ledwitch, G. Kuenze, J. Meiler

The paper presents the first crystal structure of a non-canonical amino acid linked to a paramagnetic lanthanide tag, showing how it improves NMR-derived structural modeling of proteins.

bioRxiv · Apr 10, 2022 · PreprintBiophysics

Predicting the Functional Impact of KCNQ1 Variants with Artificial Neural Networks

S. Phul, G. Kuenze, C. G. Vanoye, C. R. Sanders, A. L. George, J. Meiler

This paper develops ANN models to predict the functional impact of KCNQ1 variants using biophysical features, outperforming models based solely on evolutionary features.

bioRxiv · Dec 6, 2021Biophysics

Paramagnetic spin labeling of a bacterial DnaB helicase for solid-state NMR

J. Zehnder, R. Cadalbert, M. Yulikov, G. Kuenze, T. Wiegand

This study labels a bacterial DnaB helicase with paramagnetic probes and uses solid-state NMR to determine distance restraints and confirm its hexameric structure.

bioRxiv · Sep 14, 2021Biophysics

Disease-Linked Super-Trafficking of a Mutant Potassium Channel

H. Huang, L. M. Chamness, C. G. Vanoye, G. Kuenze, J. Meiler, A. L. George, J. P. Schlebach, C. Sanders

The paper investigates whether gain-of-function mutations in KCNQ1 cause super-trafficking of the potassium channel to the plasma membrane, finding increased surface levels and altered channel activity.

bioRxiv · Jul 29, 2020Biophysics

Structural Determinants of Cholesterol Recognition in Helical Integral Membrane Proteins

B. Marlow, J. Meiler, G. Kuenze, C. Sanders, B. Li

The paper analyzes structural and evolutionary features of cholesterol recognition sites in integral membrane proteins to distinguish specific from nonspecific interactions.

bioRxiv · Jun 15, 2020Biophysics

Protein structure prediction using sparse NOE and RDC restraints with Rosetta in CASP13

G. Kuenze, J. Meiler

The paper describes a method using Rosetta with sparse NMR data to predict protein structures, achieving correct folds and high-resolution models in some cases.

Proteins: Structure, Function, and Bioinformatics · Dec 1, 2019Peer-reviewedBiophysics

Upgraded molecular models of the human KCNQ1 potassium channel

G. Kuenze, A. M. Duran, H. Woods, K. R. Brewer, E. F. McDonald, C. G. Vanoye, A. L. George, C. R. Sanders, J. Meiler

This paper develops and validates structural models of human KCNQ1 potassium channels to understand mutation-induced dysfunction and guide drug design.

bioRxiv · May 24, 2019Biophysics

Integrative protein modeling in RosettaNMR from sparse paramagnetic restraints

G. Kuenze, R. Bonneau, J. Koehler Leman, J. Meiler

RosettaNMR improves protein structure prediction by integrating paramagnetic NMR restraints with chemical shifts and NOE data, achieving high accuracy in 50% of benchmark cases.

bioRxiv · Apr 3, 2019Biophysics

Mechanisms of KCNQ1 Channel Dysfunction in Long QT Syndrome Involving Voltage Sensor Domain Mutations

H. Huang, G. Kuenze, J. Smith, K. C. Taylor, A. M. Duran, A. Hadziselimovic, J. Meiler, C. Vanoye, A. George, C. Sanders

This study identifies that most KCNQ1 mutations causing long QT syndrome destabilize the voltage sensor domain, leading to mistrafficking and proteasomal degradation.

bioRxiv · Dec 10, 2017Biochemistry