User profiles for Tomislav Šmuc
Tomislav ŠmucSenior scientist, Rudjer Boskovic Institute, Zagreb, Croatia Verified email at irb.hr Cited by 9253 |
[HTML][HTML] REVIGO summarizes and visualizes long lists of gene ontology terms
Outcomes of high-throughput biological experiments are typically interpreted by statistical
testing for enriched gene functional categories defined by the Gene Ontology (GO). The …
testing for enriched gene functional categories defined by the Gene Ontology (GO). The …
[HTML][HTML] A large-scale evaluation of computational protein function prediction
Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be annotated …
genomes rapidly grows, the overwhelming majority of protein products can only be annotated …
Identification of patient zero in static and temporal networks: Robustness and limitations
Detection of patient zero can give new insights to epidemiologists about the nature of first
transmissions into a population. In this Letter, we study the statistical inference problem of …
transmissions into a population. In this Letter, we study the statistical inference problem of …
The landscape of microbial phenotypic traits and associated genes
Bacteria and Archaea display a variety of phenotypic traits and can adapt to diverse ecological
niches. However, systematic annotation of prokaryotic phenotypes is lacking. We have …
niches. However, systematic annotation of prokaryotic phenotypes is lacking. We have …
[HTML][HTML] Translational selection is ubiquitous in prokaryotes
Codon usage bias in prokaryotic genomes is largely a consequence of background substitution
patterns in DNA, but highly expressed genes may show a preference towards codons …
patterns in DNA, but highly expressed genes may show a preference towards codons …
Antitumor potential of crown ethers: structure− activity relationships, cell cycle disturbances, and cell death studies of a series of ionophores
The present paper demonstrates the antiproliferative ability and structure−activity relationships
(SAR) of 14 crown and aza-crown ether analogues on five tumor-cell types. The most …
(SAR) of 14 crown and aza-crown ether analogues on five tumor-cell types. The most …
[HTML][HTML] Comprehensive machine learning based study of the chemical space of herbicides
Widespread use of herbicides results in the global increase in weed resistance. The
rotational use of herbicides according to their modes of action (MoAs) and discovery of novel …
rotational use of herbicides according to their modes of action (MoAs) and discovery of novel …
Accurate models for P-gp drug recognition induced from a cancer cell line cytotoxicity screen
P-glycoprotein (P-gp, MDR1) is a promiscuous drug efflux pump of substantial pharmacological
importance. Taking advantage of large-scale cytotoxicity screening data involving 60 …
importance. Taking advantage of large-scale cytotoxicity screening data involving 60 …
Reference intervals for organically raised sheep: Effects of breed, location and season on hematological and biochemical parameters
Hematological and biochemical tests are widely used for assessment of health status and
diagnosis of disease in domestic animals. They are almost indispensible in health …
diagnosis of disease in domestic animals. They are almost indispensible in health …
Dynamic applicability domain (dAD): compound–target binding affinity estimates with local conformal prediction
Motivation Increasing efforts are being made in the field of machine learning to advance the
learning of robust and accurate models from experimentally measured data and enable …
learning of robust and accurate models from experimentally measured data and enable …