FieldChopper, A New Tool for Automatic Model Generation and Virtual Screening Based on Molecular Fields

Tuomo Kalliokoski; Toni Ronkko; Antti Poso

doi:10.1021/ci700216u

FieldChopper, A New Tool for Automatic Model Generation and Virtual Screening Based on Molecular Fields

Journal of Chemical Information and Modeling ◽

10.1021/ci700216u ◽

2008 ◽

Vol 48 (6) ◽

pp. 1131-1137 ◽

Cited By ~ 3

Author(s):

Tuomo Kalliokoski ◽

Toni Ronkko ◽

Antti Poso

Keyword(s):

Virtual Screening ◽

Model Generation ◽

Automatic Model Generation ◽

Molecular Fields

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Enabling Automatic Model Generation of RF Components: A Practical Application of Neural Networks

IEEE Microwave Magazine ◽

10.1109/mmm.2021.3096004 ◽

2021 ◽

Vol 22 (10) ◽

pp. 51-61

Author(s):

Lei Zhang ◽

Humayun Kabir ◽

Rick Sweeney ◽

Kevin Kim

Keyword(s):

Neural Networks ◽

Model Generation ◽

Practical Application ◽

Rf Components ◽

Automatic Model Generation

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Automatic Model Generation for Troubleshooting

Advances in Simulation - Knowledge-Based Simulation ◽

10.1007/978-1-4612-3040-3_6 ◽

1991 ◽

pp. 95-107

Author(s):

Arie Ben-David

Keyword(s):

Model Generation ◽

Automatic Model Generation

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Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase Pathways

Foundations of Systems Biology ◽

10.7551/mitpress/3087.003.0012 ◽

2001 ◽

Keyword(s):

Signal Transduction ◽

Map Kinase ◽

Model Generation ◽

Automatic Model Generation ◽

Map Kinase Pathways

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A Python Framework for Model Specification and Automatic Model Generation for Multiple Simulators

2019 International Interdisciplinary PhD Workshop (IIPhDW) ◽

10.1109/iiphdw.2019.8755423 ◽

2019 ◽

Author(s):

Hendrik Folkerts ◽

Thorsten Pawletta ◽

Christina Deatcu ◽

Sven Hartmann

Keyword(s):

Model Specification ◽

Model Generation ◽

Automatic Model Generation

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A Survey on Automatic Model Generation for Material Flow Simulation in Discrete Manufacturing

Procedia CIRP ◽

10.1016/j.procir.2019.03.022 ◽

2019 ◽

Vol 81 ◽

pp. 121-126 ◽

Cited By ~ 1

Author(s):

Heiner Reinhardt ◽

Marek Weber ◽

Matthias Putz

Keyword(s):

Material Flow ◽

Flow Simulation ◽

Model Generation ◽

Discrete Manufacturing ◽

Automatic Model Generation

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An approach to automatic model generation for stochastic qualitative simulation of building air conditioning systems

Proceedings of IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.1996.551088 ◽

2002 ◽

Cited By ~ 1

Author(s):

M. Yumoto ◽

T. Ohkawa ◽

N. Komoda ◽

F. Miyasaka

Keyword(s):

Air Conditioning ◽

Model Generation ◽

Qualitative Simulation ◽

Automatic Model Generation ◽

Air Conditioning Systems

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Shape- and Chemical Feature-Based 3D-Pharmacophore Model Generation and Virtual Screening: Identification of Potential Leads forP.Â falciparumDHFR Enzyme Inhibition

Chemical Biology & Drug Design ◽

10.1111/j.1747-0285.2009.00908.x ◽

2010 ◽

Vol 75 (1) ◽

pp. 115-126 ◽

Cited By ~ 20

Author(s):

Legesse Adane ◽

Dhilon. S. Patel ◽

Prasad V. Bharatam

Keyword(s):

Virtual Screening ◽

Enzyme Inhibition ◽

Pharmacophore Model ◽

Model Generation ◽

Chemical Feature ◽

3D Pharmacophore ◽

Feature Based

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Automatic Model Generation for Virtual Commissioning based on Plant Engineering Data

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.01512 ◽

2014 ◽

Vol 47 (3) ◽

pp. 11635-11640 ◽

Cited By ~ 7

Author(s):

Oppelt Mathias ◽

Wolf Gerrit ◽

Drumm Oliver ◽

Lutz Benjamin ◽

Stöß Markus ◽

...

Keyword(s):

Model Generation ◽

Engineering Data ◽

Virtual Commissioning ◽

Automatic Model Generation

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Automatic model generation and recognition of simple three-dimensional bodies

Computer Graphics and Image Processing ◽

10.1016/0146-664x(73)90006-3 ◽

1973 ◽

Vol 2 (3-4) ◽

pp. 272-280 ◽

Cited By ~ 10

Author(s):

Makoto Nagao ◽

Shigeo Hashimoto ◽

Toshiyuki Sakai

Keyword(s):

Three Dimensional ◽

Model Generation ◽

Automatic Model Generation

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DockingVersus Pharmacophore Model Generation: A Comparison of High-Throughput Virtual Screening Strategies for the Search of Human Rhinovirus Coat Protein Inhibitors

QSAR & Combinatorial Science ◽

10.1002/qsar.200430929 ◽

2005 ◽

Vol 24 (4) ◽

pp. 470-479 ◽

Cited By ~ 11

Author(s):

Theodora Steindl ◽

Thierry Langer

Keyword(s):

Coat Protein ◽

Virtual Screening ◽

High Throughput ◽

Pharmacophore Model ◽

Human Rhinovirus ◽

Model Generation ◽

Protein Inhibitors ◽

Screening Strategies ◽

High Throughput Virtual Screening

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