We are
developing multiscale models to describe cellular
dynamics and interaction with the environment. Applied
to biofilm formation, we have been able to explain the
emergence of filamentary structures in medical flow
circuits using discrete rod models, as well as
wrinkled patterns on surfaces exploiting Foppl-Von
Karman descriptions for sheets. Coupling with models
of cellular metabolism fitted to data on the action of
drugs, we have been able to simulate the action of
antibiotics on their structure. More recently, we have
applied topological data analysis to the study of gene
expression in cancer processes and to the automatic
characterization of cellular/material interfaces. We
are using clustering techniques to explore data from
immune disorders.
Previous work in this field
fitted oscillator models to describe quantitatively
and qualitatively recent experiments of protein
unfolding and refolding by means of wavefront
analysis. Earlier, we characterized propagation
failure of nerve impulses along myelinated nerves in
discrete Fitz-Hugh Nagumo and Hodgkin-Huxley type
models by a similar discrete wavefront analysis.
- Pattern
recognition in
data as a diagnosis
tool
(with A.
Simón, A.
Torres, L.F.
Villa),
Journal of
Mathematics in
Industry 12,
3, 2022 [pdf]
[arxiv]
- Positivity
preserving
high order schemes
for kinetic
models of
angiogenesis
(with E.
Cebrián),
International
Journal on
Nonlinear
Sciences and
Numerical
Simulation,
2022
to appear [pdf]
[arxiv]
- Immersed
boundary
approach to biofilm
spread on
surfaces (with
R.
González-Albaladejo),
Communications
in
Computational
Physics
31(1),
257-292, 2022 [pdf] [arxiv]
- Parameter
identification
in
epidemiological
models (with
E.
Pierret), in
Mathematical
Analysis of
Infectious
Diseases (MAID
2020), P.
Agarwal, J.J.
Nieto, D.F.M.
Torres, Eds.,
Chapter 7, 103-124,
Elsevier
2022 [pdf]
- Uncertainty
quantification
in covid19
spread:
lockdown
effects (with
E. Pierret),
Results
in Physics 35,
105375, 2022 [pdf]
[arxiv]
- Mathematical
models of the
spread and
consequences
of the SARS-CoV-2
pandemics:
Effects
on health,
society,
industry,
economics and
technology
(with A. Micheletti,
A. Araújo, N.
Bubko, M.
Ehrhardt), Journal
of Mathematics
in Industry
11, 15, 2021 [pdf]
- Clustering
methods and Bayesian
inference for
the analysis
of the time
evolution of
immune
disorders
(with A.
Simón, L.F.
Villa),
preprint
2020 [arxiv]
- Tracking
collective
cell motion
by topological
data analysis
(with L.L.
Bonilla, C.Trenado),
PLOS
Computational
Biology
16(12),
e1008497, 2020
[pdf][arxiv]
- Incorporating
cellular
stochasticity
in solid-fluid
mixture
biofilm models
(with E.
Cebrián),
Entropy
22(2),
188, 2020
[pdf]
- Fingerprints
of cancer by
persistent
homology
(with
L.L. Bonilla,
J.C. Mathews,
A.R.
Tannenbaum),
bioRxiv 777169,
2019 [pdf]
- Biofilms
as poroelastic
materials (with E.
Cebrián,
P.
Vidal),
International
Journal of
Non-linear
Mechanics
109, 1-8, 2019 [pdf]
- Dynamics of Pseudomonas
putida biofilms in an upscale experimental
framework (with D.R.
Espeso, E.
Martínez-García, V.
de Lorenzo),
Journal of
Industrial Microbiology &
Biotechnology 45, 899-911,
2018 [pdf]
- Biofilm mechanics and
patterns
(with E. Cebrián, D. R.
Espeso, P. Vidal), in
Coupled Mathematical
Models for Physical
and Biological
Nanoscale Systems and
Their Applications, Springer
Proceedings in Mathematics
& Statistics 232,
Springer Nature 2018, [pdf]
- Dynamic energy budget
approach to evaluate antibiotic
effects on biofilms (with B.
Birnir,
E. Cebrián, P. Vidal),
Communications in Nonlinear
Science and Numerical Simulation
54, 70-83, 2018 [pdf]
[arxiv]
- Stenosis triggers spread of helical Pseudomonas
biofilms in cylindrical flow systems (with D.R. Espeso,
E. Martínez-García, V. de Lorenzo), Scientific Reports 6,
27170, 2016 [pdf]
- Dynamics of bacterial
aggregates in microflows (with
B. Einarsson, D.R. Espeso), in
Progress in
Industrial Mathematics at
ECMI 2014, Mathematics in Industry 22, Springer 2016 [pdf]
- Differential
growth of wrinkled biofilms (with D.R. Espeso
and B. Einarsson), Physical Review E
91(2), 022710, 2015 [pdf]
[arxiv]
- Theory of
force-extension curves for modular proteins
and DNA hairpins (with
L.L. Bonilla and A. Prados), Physical Review E 91(5),
052712, 2015 [pdf]
[arxiv]
- Protein unfolding and
refolding as transitions through virtual
states (with L.L. Bonilla and A. Prados), EPL
(Europhysics Letters) 108(2), 28002, 2014 [pdf]
[arxiv]
- Sawtooth patterns in
force-extension curves of biomolecules: an
equilibrium-statistical-mechanics theory (with
A. Prados and L.L. Bonilla), Physical Review E
88(1), 012704, 2013 [pdf]
[arxiv]
- Biofilm growth on
rugose surfaces (with D. Rodriguez, B.
Einarsson), Physical Review E 86(6), 061914,
2012 [pdf]
[archivo]
- Spin-oscillator model
for the unzipping of biomolecules by
mechanical force (with A. Prados, L.L.
Bonilla), Physical Review E 86(2), 021919,
2012 [pdf]
[arxiv]
- Propagation
failure along myelinated nerves (with I.
Peral), Journal of Nonlinear Science 21(4),
499-520, 2011 [pdf]
[archivo]
- Asymptotic
construction of pulses in the discrete
Hodgkin-Huxley model for myelinated
nerves, Physical
Review E 72(1), 011905 2005 [pdf]
[arxiv]
- Pulse propagation in
discrete systems of coupled excitable cells
(with LL Bonilla), SIAM Journal on Applied
Mathematics 63(2), 619-635, 2003 [pdf]
[arxiv]
last modified: 22-Feb-2022
|