Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.

W. Boomsma, J. Frellsen, T. Harder, S. Bottaro, K. Johansson, P. Tian, K. Stovgaard, C. Andreetta, S. Olsson, J. Valentin, L. Antonov, A. Christensen, M. Borg, J. Jensen, K. Lindorff-Larsen, J. Ferkinghoff-Borg, and T. Hamelryck. J. Comput. Chem., 34 (19): 1697-1705 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wouter Goris

Wouter Dorigo

Wouter Horré

Wouter Rademaker

Wouter Roos

Other publications of authors with the same name

BEND: Benchmarking DNA Language Models on biologically meaningful tasks.F. Marin, F. Teufel, M. Horlacher, D. Madsen, D. Pultz, O. Winther, and W. Boomsma. CoRR, (2023)Spherical convolutions and their application in molecular modelling.W. Boomsma, and J. Frellsen. NIPS, page 3433-3443. (2017)ENCORE: Software for Quantitative Ensemble Comparison.M. Tiberti, E. Papaleo, T. Bengtsen, W. Boomsma, and K. Lindorff-Larsen. PLoS Comput. Biol., (2015)A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem.W. Boomsma. EvoCOP, volume 3004 of Lecture Notes in Computer Science, page 31-40. Springer, (2004)A Continuous Relaxation for Discrete Bayesian Optimization.R. Michael, S. Bartels, M. Duque, Y. Zainchkovskyy, J. Frellsen, S. Hauberg, and W. Boomsma. CoRR, (2024)3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data.M. Weiler, M. Geiger, M. Welling, W. Boomsma, and T. Cohen. NeurIPS, page 10402-10413. (2018)A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences.M. Duque, R. Michael, S. Bartels, Y. Zainchkovskyy, S. Hauberg, and W. Boomsma. CoRR, (2024)Multiple Sequence Alignment Using SAGA: Investigating the Effects of Operator Scheduling, Population Seeding, and Crossover Operators.R. Thomsen, and W. Boomsma. EvoWorkshops, volume 3005 of Lecture Notes in Computer Science, page 113-122. Springer, (2004)PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.W. Boomsma, J. Frellsen, T. Harder, S. Bottaro, K. Johansson, P. Tian, K. Stovgaard, C. Andreetta, S. Olsson, J. Valentin and 7 other author(s). J. Comput. Chem., 34 (19): 1697-1705 (2013)Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters.M. Arts, J. Frellsen, and W. Boomsma. CoRR, (2023)

BibSonomy

Disambiguation of "Boomsma, Wouter"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.

Please choose a person to relate this publication to

Wouter Goris

Wouter Dorigo

Wouter Horré

Wouter Rademaker

Wouter Roos

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Boomsma, Wouter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.

Please choose a person to relate this publication to

Wouter Goris

Wouter Dorigo

Wouter Horré

Wouter Rademaker

Wouter Roos

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.