Ariel Aptekmann

Bioinformatician at Hackensack Meridian Hospital Center for Discovery and Innovation

Research Expertise

Computational biology
bioinformatics
metagenomics
evolution
Genetics
Infectious Diseases
Public Health, Environmental and Occupational Health
Inorganic Chemistry
Organic Chemistry
Physical and Theoretical Chemistry
Computer Science Applications
Spectroscopy
Molecular Biology
Catalysis
Computational Mathematics
Computational Theory and Mathematics
Biochemistry
Statistics and Probability
Ecology, Evolution, Behavior and Systematics
Microbiology
Biophysics
Atmospheric Science

About

I am a bioinformatician and researcher in computational biology. My research focuses on the application of machine learning and data analysis to understand the molecular basis of disease. I also work on developing novel software tools for data management and analysis.

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Publications

Molecular link between auxin and ROS-mediated polar growth
Proceedings of the National Academy of Sciences
2017
Quantifying structural relationships of metal-binding sites suggests origins of biological electron transfer
Science Advances
2022
Apoplastic class III peroxidases PRX62 and PRX69 promote Arabidopsis root hair growth at low temperature
Nature Communications
2022
Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter
Nature Communications
2022
Decoding the effects of synonymous variants
Nucleic Acids Research
2021
Core promoter information content correlates with optimal growth temperature
Scientific Reports
2018
Ecology theory disentangles microbial dichotomies
Environmental Microbiology
2023
A finely tuned interplay between calcium binding, ionic strength and pH modulates conformational and oligomerization equilibria in the Respiratory Syncytial Virus Matrix (M) protein
Archives of Biochemistry and Biophysics
2022
PhISCO: a simple method to infer phenotypes from protein sequences
Unknown Venue
2022
Illuminating the Microbial Dark Matter Driving Energy Transformations in the Environment with a Universal Language of Life
Goldschmidt2021 abstracts
2021
Dark Matter of the Transcription Factor Binding Site Motif Universe
Unknown Venue
2021
ANÁLISIS DE LOS FLUJOS EXTREMOS DE ELECTRONES ENERGÉTICOS EN EL CINTURÓN DE RADIACIÓN EXTERIOR Y EN LA ANOMALÍA MAGNÉTICA DEL ATLÁNTICO SUR
Meteorologica
2021
NAC1 directs CEP1-CEP3 peptidase expression and modulates root hair growth in Arabidopsis
Unknown Venue
2023
mebipred: identifying metal-binding potential in protein sequence
Bioinformatics
2022
Class III Peroxidases PRX01, PRX44, and PRX73 Control Root Hair Growth in Arabidopsis thaliana
International Journal of Molecular Sciences
2022
Transcription factor specificity limits the number of DNA-binding motifs
PLOS ONE
2022
mebipred: identifying metal-binding potential in protein sequences.
Unknown Venue
2021
Transcriptomic analysis and molecular docking reveal genes involved in the response of Aedes aegypti larvae to an essential oil extracted from Eucalyptus
PLOS Neglected Tropical Diseases
2021
Decoding the effects of synonymous variants
Unknown Venue
2021
Thousands of protein linear motif classes may still be undiscovered
PLOS ONE
2021
Shedding Light on Microbial Dark Matter with A Universal Language of Life
Unknown Venue
2020
Computational Approaches for Unraveling the Effects of Variation in the Human Genome and Microbiome
Annual Review of Biomedical Data Science
2020
The molecular link between auxin and ROS-Mediated polar root hair growth
Unknown Venue
2017

Education

University of Buenos Aires

PhD, Biological Chemistry, Bioinformatics / February, 2018

Buenos Aires

Rutgers, The State University of New Jersey

Postdoc, Computational Biology / March, 2021

New Brunswick, New Jersey, United States of America

Experience

Hackensack Meridian Hospital Center for Discovery and Innovation

Bioinformatician / March, 2021Present

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