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Tomislav Šmuc

Showing results (1-10 of 21) with videos related to

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Molecules (Basel, Switzerland)|July 24, 2021
Search for Novel Lead Inhibitors of Yeast Cytochrome bc1, from Drugbank and COCONUTOzren Jović, Tomislav Šmuc
Bioinformatics (Oxford, England)|August 18, 2023
Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal predictionDavor Oršolić, Tomislav Šmuc
Molecules (Basel, Switzerland)|May 14, 2020
Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel FungicidesOzren Jović, Tomislav Šmuc
Genetics|April 28, 2010
On relevance of codon usage to expression of synthetic and natural genes in Escherichia coliFran Supek, Tomislav Šmuc
Scientific Reports|December 22, 2019
Patterns of diverse gene functions in genomic neighborhoods predict gene function and phenotypeMatej Mihelčić, Tomislav Šmuc, Fran Supek
Bioinformatics (Oxford, England)|August 14, 2016
Extensive complementarity between gene function prediction methodsVedrana Vidulin, Tomislav Šmuc, Fran Supek
Entropy (Basel, Switzerland)|December 8, 2020
From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active LearningIlona Kulikovskikh, Tomislav Lipic, Tomislav Šmuc
Microbiome|July 12, 2018
The evolutionary signal in metagenome phyletic profiles predicts many gene functionsVedrana Vidulin, Tomislav Šmuc, Sašo Džeroski, et al.
Scientific Reports|June 2, 2021
Comprehensive machine learning based study of the chemical space of herbicidesDavor Oršolić, Vesna Pehar, Tomislav Šmuc, et al.
Plos One|July 27, 2011
REVIGO summarizes and visualizes long lists of gene ontology termsFran Supek, Matko Bošnjak, Nives Škunca, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Molecules (Basel, Switzerland)|July 24, 2021
Search for Novel Lead Inhibitors of Yeast Cytochrome bc1, from Drugbank and COCONUTOzren Jović, Tomislav Šmuc
Bioinformatics (Oxford, England)|August 18, 2023
Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal predictionDavor Oršolić, Tomislav Šmuc
Molecules (Basel, Switzerland)|May 14, 2020
Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel FungicidesOzren Jović, Tomislav Šmuc
Genetics|April 28, 2010
On relevance of codon usage to expression of synthetic and natural genes in Escherichia coliFran Supek, Tomislav Šmuc
Scientific Reports|December 22, 2019
Patterns of diverse gene functions in genomic neighborhoods predict gene function and phenotypeMatej Mihelčić, Tomislav Šmuc, Fran Supek
Bioinformatics (Oxford, England)|August 14, 2016
Extensive complementarity between gene function prediction methodsVedrana Vidulin, Tomislav Šmuc, Fran Supek
Entropy (Basel, Switzerland)|December 8, 2020
From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active LearningIlona Kulikovskikh, Tomislav Lipic, Tomislav Šmuc
Microbiome|July 12, 2018
The evolutionary signal in metagenome phyletic profiles predicts many gene functionsVedrana Vidulin, Tomislav Šmuc, Sašo Džeroski, et al.
Scientific Reports|June 2, 2021
Comprehensive machine learning based study of the chemical space of herbicidesDavor Oršolić, Vesna Pehar, Tomislav Šmuc, et al.
Plos One|July 27, 2011
REVIGO summarizes and visualizes long lists of gene ontology termsFran Supek, Matko Bošnjak, Nives Škunca, et al.
Pageof 3