Search Results - "Koch, Ina"

The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design.

Authors: Höcker, Birte Koch, Ina Hennig, Janosch

Source: Biological Chemistry. Oct2025, Vol. 406 Issue 8/9, p345-348. 4p.

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Investigation of metabolic pathways from gut microbiome analyses regarding type 2 diabetes mellitus using artificial neural networks.

Authors: Siptroth, Julienne Moskalenko, Olga Krumbiegel, Carsten et al.

Source: Discover Artificial Intelligence; 5/9/2023, Vol. 3 Issue 1, p1-9, 9p

Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches.

Authors: Koch, Ina Büttner, Bianca

Source: American Journal of Physiology: Cell Physiology. May2023, Vol. 324 Issue 5, pC1126-C1140. 15p.

Petri nets in systems biology.

Authors: Koch, Ina¹, ina.koch@bioinformatik.uni-frankfurt.de

Source: Software & Systems Modeling; May2015, Vol. 14 Issue 2, p703-710, 8p

A review of bioinformatics education in Germany.

Authors: Koch, Ina Fuellen, Georg

Source: Briefings in Bioinformatics. May2008, Vol. 9 Issue 3, p232-242. 11p. 3 Charts.

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Time Petri Nets for Modelling and Analysis of Biochemical Networks.

Authors: Popova-Zeugmann, Louchka Heiner, Monika Koch, Ina

Source: Fundamenta Informaticae; 2005, Vol. 67 Issue 1-3, p149-162, 14p, 4 Diagrams

STEPP – Search Tool for Exploration of Petri net Paths: A New Tool for Petri Net-Based Path Analysis in Biochemical Networks.

Authors: Koch, Ina Schüler, Markus Heiner, Monika

Source: In Silico Biology. 2005, Vol. 5 Issue 2, p129-137. 9p.

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Protein super-secondary structure and quaternary structure topology: theoretical description and application.

Authors: Koch, Ina Schäfer, Tim

Source: Current Opinion in Structural Biology. Jun2018, Vol. 50, p134-143. 10p.

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Image database analysis of Hodgkin lymphoma.

Authors: Schäfer, Tim Schäfer, Hendrik Schmitz, Alexander et al.

Source: Computational Biology & Chemistry; Oct2013, Vol. 46, p1-7, 7p

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Cyclin D1 positive multiple myeloma: Predominance of the short, 3′UTR-deficient transcript is associated with high cyclin D1 mRNA levels in cases with t(11;14) translocation, but does not correlate with proliferation rate or genomic deletions

Authors: Slotta-Huspenina, Julia Koch, Ina Richter, Manfred et al.

Source: Leukemia Research. Jan2008, Vol. 32 Issue 1, p79-88. 10p.