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Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

P. Robert, R. Akbar, R. Frank, M. Pavlovic, M. Widrich, I. Snapkov, A. Slabodkin, M. Chernigovskaya, L. Scheffer, E. Smorodina, P. Rawat, B. Mehta, M. Vu, I. Mathisen, A. Prósz, K. Abram, A. Olar, E. Miho, D. Haug, F. Lund-Johansen, S. Hochreiter, I. Haff, G. Klambauer, G. Sandve, and V. Greiff. Nat. Comput. Sci., 2 (12): 845-865 (2022)

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Günter Klambauer

Günter Theißen

Multimerisierung und DNA-Bindung homöotischer Proteine der BlütenbildungR. Melzer. Uni Jena, (2009)

Günter Grundmann

Günter Kühnel

Günter Uhlig

Other publications of authors with the same name

Principled Weight Initialisation for Input-Convex Neural Networks.P. Hoedt, and G. Klambauer. CoRR, (2023)Machine Learning in Drug Discovery.S. Hochreiter, G. Klambauer, and M. Rarey. J. Chem. Inf. Model., 58 (9): 1723-1724 (2018)Machine Learning in Drug Discovery.G. Klambauer, S. Hochreiter, and M. Rarey. J. Chem. Inf. Model., 59 (3): 945-946 (2019)CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.A. Fürst, E. Rumetshofer, J. Lehner, V. Tran, F. Tang, H. Ramsauer, D. Kreil, M. Kopp, G. Klambauer, A. Bitto and 1 other author(s). NeurIPS, (2022)Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.M. Hofmarcher, E. Rumetshofer, D. Clevert, S. Hochreiter, and G. Klambauer. J. Chem. Inf. Model., 59 (3): 1163-1171 (2019)The Promise of AI for DILI Prediction.A. Vall, Y. Sabnis, J. Shi, R. Class, S. Hochreiter, and G. Klambauer. Frontiers Artif. Intell., (2021)Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images.S. Kimeswenger, E. Rumetshofer, M. Hofmarcher, P. Tschandl, H. Kittler, S. Hochreiter, W. Hötzenecker, and G. Klambauer. CoRR, (2019)GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.L. Schneckenreiter, R. Freinschlag, F. Sestak, J. Brandstetter, G. Klambauer, and A. Mayr. CoRR, (2024)Industry-scale application and evaluation of deep learning for drug target prediction.N. Sturm, A. Mayr, T. Van, V. Chupakhin, H. Ceulemans, J. Wegner, J. Dzib, N. Jeliazkova, Y. Vandriessche, S. Böhm and 9 other author(s). J. Cheminformatics, 12 (1): 26 (2020)NeuralHydrology - Interpreting LSTMs in Hydrology.F. Kratzert, M. Herrnegger, D. Klotz, S. Hochreiter, and G. Klambauer. Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)

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Disambiguation of "Klambauer, Günter"

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Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

Please choose a person to relate this publication to

Günter Klambauer

Günter Theißen

Günter Grundmann

Günter Kühnel

Günter Uhlig

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klambauer, Günter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

Please choose a person to relate this publication to

Günter Klambauer

Günter Theißen

Günter Grundmann

Günter Kühnel

Günter Uhlig

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

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.