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

Randomized SMILES strings improve the quality of molecular generative models.

J. Arús-Pous, S. Johansson, O. Prykhodko, E. Bjerrum, C. Tyrchan, J. Reymond, H. Chen, and O. Engkvist. J. Cheminformatics, 11 (1): 71:1-71:13 (2019)

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.

Vladislava Ola

Ola Ajaj

Ola Agevall

Ola Redell

Ola Skjölaas

Other publications of authors with the same name

Orthologue chemical space and its influence on target prediction.L. Mervin, K. Bulusu, L. Kalash, A. Afzal, F. Svensson, M. Firth, I. Barrett, O. Engkvist, and A. Bender. Bioinform., 34 (1): 72-79 (2018)Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery.S. Bonner, I. Barrett, C. Ye, R. Swiers, O. Engkvist, and W. Hamilton. CoRR, (2021)MAIP: a web service for predicting blood-stage malaria inhibitors.N. Bosc, E. Felix, R. Arcila, D. Mendez, M. Saunders, D. Green, J. Ochoada, A. Shelat, E. Martin, P. Iyer and 6 other author(s). J. Cheminformatics, 13 (1): 13 (2021)A de novo molecular generation method using latent vector based generative adversarial network.O. Prykhodko, S. Johansson, P. Kotsias, J. Arús-Pous, E. Bjerrum, O. Engkvist, and H. Chen. J. Cheminformatics, 11 (1): 74 (2019)Molecular Topology Analysis of the Differences between Drugs, Clinical Candidate Compounds, and Bioactive Molecules.H. Chen, Y. Yang, and O. Engkvist. J. Chem. Inf. Model., 50 (12): 2141-2150 (2010)Industry-Scale Orchestrated Federated Learning for Drug Discovery.M. Oldenhof, G. Ács, B. Pejó, A. Schuffenhauer, N. Holway, N. Sturm, A. Dieckmann, O. Fortmeier, E. Boniface, C. Mayer and 37 other author(s). AAAI, page 15576-15584. AAAI Press, (2023)Exploring the GDB-13 chemical space using deep generative models.J. Arús-Pous, T. Blaschke, S. Ulander, J. Reymond, H. Chen, and O. Engkvist. J. Cheminformatics, 11 (1): 20:1-20:14 (2019)Parallel Capsule Networks for Classification of White Blood Cells.J. Vigueras-Guillén, A. Patra, O. Engkvist, and F. Seeliger. MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 743-752. Springer, (2021)Venn-Abers predictors for improved compound iterative screening in drug discovery.R. Buendía, O. Engkvist, L. Carlsson, T. Kogej, and E. Ahlberg. COPA, volume 91 of Proceedings of Machine Learning Research, page 201-219. PMLR, (2018)Autonomous Drug Design with Multi-Armed Bandits.H. Svensson, E. Bjerrum, C. Tyrchan, O. Engkvist, and M. Chehreghani. IEEE Big Data, page 5584-5592. IEEE, (2022)

BibSonomy

Disambiguation of "Engkvist, Ola"

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

Randomized SMILES strings improve the quality of molecular generative models.

Please choose a person to relate this publication to

Vladislava Ola

Ola Ajaj

Ola Agevall

Ola Redell

Ola Skjölaas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Engkvist, Ola"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Randomized SMILES strings improve the quality of molecular generative models.

Please choose a person to relate this publication to

Vladislava Ola

Ola Ajaj

Ola Agevall

Ola Redell

Ola Skjölaas

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

Randomized SMILES strings improve the quality of molecular generative models.