Boris Sattarov 个人学术档案

引用次数

	总计	2019 年至今
引用	623	621
h 指数	6	6
i10 指数	5	5

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Sai Krishna GottipatiAI Redefined在 ai-r.com 的电子邮件经过验证
Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.在 polymtl.ca 的电子邮件经过验证
Yashaswi PathakUndergraduate Researcher, IIIT Hyderabad在 research.iiit.ac.in 的电子邮件经过验证
Igor I. BaskinDepartment of Materials Science and Engineering, Technion - Israel Institute of Technology在 technion.ac.il 的电子邮件经过验证
Alexandre VarnekProfessor of Chemistry, University of Strasbourg在 unistra.fr 的电子邮件经过验证
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的电子邮件经过验证
Connor W. ColeyMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Shengchao LiuUC Berkeley & Caltech在 berkeley.edu 的电子邮件经过验证
Haoran WeiMicrosoft在 udel.edu 的电子邮件经过验证
Sufeng Niu在 g.clemson.edu 的电子邮件经过验证
Gilles MARCOUUniversité de Strasbourg在 unistra.fr 的电子邮件经过验证
Davide SabbadinRoivant Sciences在 roivant.com 的电子邮件经过验证
Simone SciabolaBiogen在 biogen.com 的电子邮件经过验证
Gianni De FabritiisComputational Science Laboratory, Icrea Research Professor, Acellera twitter:@gdefabritiis在 upf.edu 的电子邮件经过验证
Miha SkalicBoehringer Ingelheim在 boehringer-ingelheim.com 的电子邮件经过验证
Valery TkachenkoPresident, Science Data Experts在 sciencedataexperts.com 的电子邮件经过验证
Alexandru Korotcov, PhDMRI Scientist & AI/Data Scientist Consultant在 wideai.net 的电子邮件经过验证
Mamal AminiNow @ GovernGPT.ai | ex Cerebras | ex Huawei | ex Mila | McGill alumn在 mail.mcgill.ca 的电子邮件经过验证
Matthew E. TaylorProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
Artem MitrofanovLomonosov Moscow State University, Head of SCD Lab在 radio.chem.msu.ru 的电子邮件经过验证

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Boris Sattarov

Qubit Pharmaceuticals

在 qubit-pharmaceuticals.com 的电子邮件经过验证

Cheminformatics QSAR Data Science Machine Learning Optimization Algorithms


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders EJ Bjerrum, B Sattarov Biomolecules 8 (4), 131, 2018	169	2018
Learning to navigate the synthetically accessible chemical space using reinforcement learning SK Gottipati, B Sattarov, S Niu, Y Pathak, H Wei, S Liu, S Blackburn, ... International conference on machine learning, 3668-3679, 2020	147	2020
De novo molecular design by combining deep autoencoder recurrent neural networks with generative topographic mapping B Sattarov, II Baskin, D Horvath, G Marcou, EJ Bjerrum, A Varnek Journal of chemical information and modeling 59 (3), 1182-1196, 2019	147	2019
From target to drug: generative modeling for the multimodal structure-based ligand design M Skalic, D Sabbadin, B Sattarov, S Sciabola, G De Fabritiis Molecular pharmaceutics 16 (10), 4282-4291, 2019	120	2019
Computationally driven discovery of SARS-CoV-2 M pro inhibitors: from design to experimental validation L El Khoury, Z Jing, A Cuzzolin, A Deplano, D Loco, B Sattarov, F Hédin, ... Chemical science 13 (13), 3674-3687, 2022	27	2022
Towered actor critic for handling multiple action types in reinforcement learning for drug discovery SK Gottipati, Y Pathak, B Sattarov, R Nuttall, M Amini, ME Taylor, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 142-150, 2021	7	2021
Deep learning insights into lanthanides complexation chemistry AA Mitrofanov, PI Matveev, KV Yakubova, A Korotcov, B Sattarov, ... Molecules 26 (11), 3237, 2021	6	2021
Research data management using FAIR data repository with integrated machine learning V Tkachenko, B Sattarov, A Korotcov, R Zakharov ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018		2018

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