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pro vyhledávání: '"Ingo Schellhammer"'
Autor:
Matthias Rarey, Ingo Schellhammer
Publikováno v:
Journal of Computer-Aided Molecular Design. 21:223-238
Structure-based virtual screening today is basically organized as a sequential process where the molecules of a screening library are evaluated for instance with respect to their fit with a biological target. In this paper, we present a novel structu
Autor:
Ingo Schellhammer
Publikováno v:
Wirtschaftsinformatik. 47:464-466
Autor:
Matthias Rarey, Ingo Schellhammer
Publikováno v:
Proteins. 57(3)
We present a new software module, FlexX-Scan, for high-throughput, structure-based virtual screening. FlexX-Scan was developed with the aim to further speed up the virtual screening process. Based on the incremental construction docking tool FlexX (R
Publikováno v:
CoNLL
We present preliminary results of experiments with two types of recurrent neural networks for a natural language learning task. The neural networks, Elman networks and Recurrent Cascade Correlation (RCC), were trained on the text of a first-year prim
Publikováno v:
CoNLL
We present results of experiments with Elman recurrent neural networks (Elman, 1990) trained on a natural language processing task. The task was to learn sequences of word categories in a text derived from a primary school reader. The grammar induced