activity
20202023
most citedA multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

86 citations · 222 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.PE2023★ 8 cited

Model-based assessment of sampling protocols for infectious disease genomic surveillance

Sebastian Contreras, Karen Y. Oróstica, Anamaria Daza-Sanchez +8

Genomic surveillance of infectious diseases allows monitoring circulating and emerging variants and quantifying their epidemic potential. However, due to the high costs associated…

q-bio.PE2021★ 80 cited

Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves

Simon Bauer, Sebastian Contreras, Jonas Dehning +5

Mass vaccination offers a promising exit strategy for the COVID-19 pandemic. However, as vaccination progresses, demands to lift restrictions increase, despite most of the populati…

q-bio.GN2021

Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches

Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames +4

Motivation: Peptides have attracted the attention in this century due to their remarkable therapeutic properties. Computational tools are being developed to take advantage of exist…

q-bio.PE2020★ 17 cited

On the heterogeneous spread of COVID-19 in Chile

Danton Freire-Flores, Nyna Llanovarced-Kawles, Anamaria Sanchez-Daza +1

Non-pharmaceutical interventions (NPIs) have played a crucial role in controlling the spread of COVID-19. Nevertheless, NPI efficacy varies enormously between and within countries,…

cs.CE2020★ 5 cited

Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins

David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa +4

Predicting the effect of mutations in proteins is one of the most critical challenges in protein engineering; by knowing the effect a substitution of one (or several) residues in t…

q-bio.PE2020★ 26 cited

Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic

Sebastián Contreras, Juan Pablo Biron-Lattes, H. Andrés Villavicencio +3

COVID-19 pandemic has reshaped our world in a timescale much shorter than what we can understand. Particularities of SARS-CoV-2, such as its persistence in surfaces and the lack of…

q-bio.PE2020★ 86 cited

A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

Sebastian Contreras, H. Andres Villavicencio, David Medina-Ortiz +2

The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the…

q-bio.MN2020

Cell cycle and protein complex dynamics in discovering signaling pathways

Daniel Inostroza, Cecilia Hernández, Diego Seco +2

Signaling pathways are responsible for the regulation of cell processes, such as monitoring the external environment, transmitting information across membranes, and making cell fat…