[HTML][HTML] Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

J Zrimec, CS Börlin, F Buric, AS Muhammad… - Nature …, 2020 - nature.com
Understanding the genetic regulatory code governing gene expression is an important
challenge in molecular biology. However, how individual coding and non-coding regions of …

[HTML][HTML] Learning the regulatory code of gene expression

J Zrimec, F Buric, M Kokina, V Garcia… - Frontiers in Molecular …, 2021 - frontiersin.org
Data-driven machine learning is the method of choice for predicting molecular phenotypes
from nucleotide sequence, modeling gene expression events including protein-DNA …

Performance of regression models as a function of experiment noise

G Li, J Zrimec, B Ji, J Geng, J Larsbrink… - … and Biology Insights, 2021 - journals.sagepub.com
Background: A challenge in developing machine learning regression models is that it is
difficult to know whether maximal performance has been reached on the test dataset, or …

[HTML][HTML] DNA structure at the plasmid origin-of-transfer indicates its potential transfer range

J Zrimec, A Lapanje - Scientific Reports, 2018 - nature.com
Horizontal gene transfer via plasmid conjugation enables antimicrobial resistance (AMR) to
spread among bacteria and is a major health concern. The range of potential transfer hosts …

Multiple plasmid origin‐of‐transfer regions might aid the spread of antimicrobial resistance to human pathogens

J Zrimec - MicrobiologyOpen, 2020 - Wiley Online Library
Antimicrobial resistance poses a great danger to humanity, in part due to the widespread
horizontal gene transfer of plasmids via conjugation. Modeling of plasmid transfer is …

Evaluating hydrogen bonds and base stacking of single, tandem and terminal GU mismatches in RNA with a mesoscopic model

TD Amarante, G Weber - Journal of Chemical Information and …, 2016 - ACS Publications
Guanine− Uracil (GU) mismatches are crucial to the stability of the RNA double helix and
need to be considered in RNA folding algorithms for numerous biotechnological …

Machine Learning Model using a Fiber Bragg Grating-based Sensor System to measure Battery State-of-Charge

S Bandyopadhyay, M Fabian, J Bremner, X Liu… - Optical Fiber …, 2022 - opg.optica.org
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Machine
Learning Model using a Fiber Bragg Gratingbased Sensor System to measure Battery State-of-Charge …

Structural representations of DNA regulatory substrates can enhance sequence-based algorithms by associating functional sequence variants

J Zrimec - Proceedings of the 11th ACM International Conference …, 2020 - dl.acm.org
The nucleotide sequence representation of DNA can be inadequate for resolving protein-
DNA binding sites and regulatory substrates, such as those involved in gene expression and …

Gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

J Zrimec, F Buric, AS Muhammad, R Chen, V Verendel… - bioRxiv, 2019 - biorxiv.org
Understanding the genetic regulatory code that governs gene expression is a primary, yet
challenging aspiration in molecular biology that opens up possibilities to cure human …

[HTML][HTML] Bridge-Induced Translocation between NUP145 and TOP2 Yeast Genes Models the Genetic Fusion between the Human Orthologs Associated With Acute …

V Tosato, N West, J Zrimec, DV Nikitin, G Del Sal… - Frontiers in …, 2017 - frontiersin.org
In mammalian organisms liquid tumors such as acute myeloid leukemia (AML) are related to
spontaneous chromosomal translocations ensuing in gene fusions. We previously …