Gisbert Schneider
1993–2025 年に発表
- 241
- 論文数
- 27,545
- 被引用数
- 82
- h 指数
- 213
- i10 指数
被引用数
引用元
国・地域
機関
分野
- Computer Science45.4%
- Biochemistry, Genetics and Molecular Biology17.6%
- Medicine11.3%
- Immunology and Microbiology9%
- Materials Science4.9%
- Chemistry3.1%
- その他8.7%
トピック
- Computational Drug Discovery Methods17.4%
- Machine Learning in Materials Science5.7%
- Protein Structure and Dynamics4.1%
- Antimicrobial Peptides and Activities3.5%
- Chemical Synthesis and Analysis2.9%
- Machine Learning in Bioinformatics2.5%
- その他63.9%
共著者
- Petra Schneider54
- Francesca Grisoni23
- Jan A. Hiss23
- Ewgenij Proschak18
- Daniel Merk15
- Daniel Reker15
- Kenneth Atz13
- Paul Wrede13
- Uli Fechner13
- Alex T. Müller12
- Tiago Rodrigues12
- Michael Reutlinger11
- Markus Hartenfeller10
- Silja Weßler10
- Steffen Renner10
- Clemens Isert9
- Matthias Rupp9
- Oliver Werz9
- Tim Geppert9
- Yusuf Tanrıkulu9
- Lukas Friedrich8
- Volker Hähnke8
- Felix Reisen7
- Gisela Gabernet7
全論文
- Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
著者: Xin Yang, Yifei Wang, Ryan Byrne, Gisbert Schneider, Shengyong Yang - Chemical Reviews 2019 被引用: 1,020
- Rethinking drug design in the artificial intelligence era
著者: Petra Schneider, W. Patrick Walters, Alleyn T. Plowright, Norman Sieroka, Jennifer Listgarten, Robert A. Goodnow, Jasmin Fisher, Johanna M. Jansen, José S. Duca, Thomas S. Rush, Matthias Zentgraf, John E. Hill, Elizabeth Krutoholow, Matthias Köhler, Jeff Blaney, Kimito Funatsu, Chris Luebkemann, Gisbert Schneider - Nature Reviews Drug Discovery 2019 被引用: 854
- Designing antimicrobial peptides: form follows function
著者: Christopher D. Fjell, Jan A. Hiss, Robert E. W. Hancock, Gisbert Schneider - Nature Reviews Drug Discovery 2011 被引用: 2,014
- Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
著者: Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, Gisbert Schneider, Artem Cherkasov - Nature Reviews Drug Discovery 2023 被引用: 336
- Automating drug discovery
著者: Gisbert Schneider - Nature Reviews Drug Discovery 2017 被引用: 866
- Artificial intelligence in drug discovery: recent advances and future perspectives
著者: José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, Gisbert Schneider - Expert Opinion on Drug Discovery 2021 被引用: 456
- Counting on natural products for drug design
著者: Tiago Rodrigues, Daniel Reker, Petra Schneider, Gisbert Schneider - Nature Chemistry 2016 被引用: 1,225
- Bidirectional Molecule Generation with Recurrent Neural Networks
著者: Francesca Grisoni, Michael Moret, Robin Lingwood, Gisbert Schneider - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2010 被引用: 240
- Deep Learning in Drug Discovery
著者: Erik Gawehn, Jan A. Hiss, Gisbert Schneider - Molecular Informatics 2015 被引用: 724
- Computer-based de novo design of drug-like molecules
著者: Gisbert Schneider, Uli Fechner - Nature Reviews Drug Discovery 2005 被引用: 967
- Combining Generative Artificial Intelligence and On-Chip Synthesis for De Novo Drug Design
著者: Francesca Grisoni, Berend Huisman, Alexander L. Button, Michaël Moret, Kenneth Atz, Daniel Merk, Gisbert Schneider - Science Advances 2020 被引用: 167
- De Novo Design of Bioactive Small Molecules by Artificial Intelligence
著者: Daniel Merk, Lukas Friedrich, Francesca Grisoni, Gisbert Schneider - Molecular Informatics 2018 被引用: 365
- Leveraging molecular structure and bioactivity with chemical language models for de novo drug design
著者: Michaël Moret, Irène Pachón-Angona, Leandro Cotos, Shen Yan, Kenneth Atz, Cyrill Brunner, Martin Baumgartner, Francesca Grisoni, Gisbert Schneider - Nature Communications 2023 被引用: 156
- QMugs, quantum mechanical properties of drug-like molecules
著者: Clemens Isert, Kenneth Atz, José Jiménez-Luna, Gisbert Schneider - Scientific Data 2022 被引用: 140
- Generative Recurrent Networks for De Novo Drug Design
著者: Anvita Gupta, Alex T. Müller, Berend J. H. Huisman, Jens A. Fuchs, Petra Schneider, Gisbert Schneider - Molecular Informatics 2017 被引用: 468
- Recurrent Neural Network Model for Constructive Peptide Design
著者: Alex T. Müller, Jan A. Hiss, Gisbert Schneider - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2018 被引用: 276
- modlAMP: Python for antimicrobial peptides
著者: Alex T. Müller, Gisela Gabernet, Jan A. Hiss, Gisbert Schneider - Bioinformatics, Bioinform. 2017 被引用: 222
- Generative molecular design in low data regimes
著者: Michael Moret, Lukas Friedrich, Francesca Grisoni, Daniel Merk, Gisbert Schneider - Nature Machine Intelligence, Nat. Mach. Intell. 2020 被引用: 232
- Predicting drug metabolism: experiment and/or computation?
著者: Johannes Kirchmair, Andreas H. Göller, Dieter Lang, Jens Kunze, Bernard Testa, Ian D. Wilson, Robert C. Glen, Gisbert Schneider - Nature Reviews Drug Discovery 2015 被引用: 503
- Active-learning strategies in computer-assisted drug discovery
著者: Daniel Reker, Gisbert Schneider - Drug Discovery Today 2014 被引用: 267
- Prospective de novo drug design with deep interactome learning
著者: Kenneth Atz, Leandro Cotos, Clemens Isert, M. Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider - Nature Communications 2024 被引用: 77
- “Scaffold-Hopping” by Topological Pharmacophore Search: A Contribution to Virtual Screening
著者: Gisbert Schneider, Werner Neidhart, Thomas Giller, Gerard M. Schmid - Angewandte Chemie International Edition 1999 被引用: 691
- Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators
著者: Daniel Merk, Francesca Grisoni, Lukas Friedrich, Gisbert Schneider - Communications Chemistry 2018 被引用: 142
- Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis
著者: Alexander Button, Daniel Merk, Jan A. Hiss, Gisbert Schneider - Nature Machine Intelligence, Nat. Mach. Intell. 2019 被引用: 112
