Patrice Koehl

发表

Faculty Opinions recommendation of Improved protein structure prediction using potentials from deep learning.

Patrice Koehl, 2020 .

How round is a protein? Exploring protein structures for globularity using conformal mapping

Patrice Koehl, Joel Hass, P. Koehl, 2014, Front. Mol. Biosci..

Faculty Opinions recommendation of End-to-End Differentiable Learning of Protein Structure.

Patrice Koehl, 2019 .

Faculty Opinions recommendation of Coupling molecular dynamics and deep learning to mine protein conformational space.

Patrice Koehl, 2019 .

Comparing shapes of genus-zero surfaces

Patrice Koehl, Joel Hass, P. Koehl, 2017, J. Appl. Comput. Topol..

Optimal transport at finite temperature.

Patrice Koehl, Marc Delarue, Henri Orland, 2019, Physical review. E.

A brighter future for protein structure prediction

Michael Levitt, Patrice Koehl, M. Levitt, 1999, Nature Structural Biology.

Faculty Opinions recommendation of Unfolded states under folding conditions accommodate sequence-specific conformational preferences with random coil-like dimensions.

Patrice Koehl, 2019 .

BAliBASE 3.0: Latest developments of the multiple sequence alignment benchmark

Olivier Poch, Patrice Koehl, Raymond Ripp, 2005, Proteins.

Sampling the conformation of protein surface residues for flexible protein docking

Nina Amenta, Patrice Koehl, Joel Hass, 2010, BMC Bioinformatics.

Faculty Opinions recommendation of Experimental accuracy in protein structure refinement via molecular dynamics simulations.

Patrice Koehl, 2019 .

Faculty Opinions recommendation of Molecular ensembles make evolution unpredictable.

Patrice Koehl, 2017 .

Surface‐histogram: A new shape descriptor for protein‐protein docking

Nina Amenta, Patrice Koehl, Joel Hass, 2012, Proteins.

Faculty Opinions recommendation of High-accuracy refinement using Rosetta in CASP13.

Patrice Koehl, 2020 .

Mathematics's role in the grand challenge of deciphering the molecular basis of life

Patrice Koehl, P. Koehl, 2014, Front. Mol. Biosci..