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Talks/Posters
- Giuseppe
Jordão (FCUP) "Mathematical models
in cancer"
Abstract: In
this talk deterministic mathematical
models are derived from biochemical
models within a human cell in two
distint cases, for comparison: healthy
cell and cancerous cell. The former
model is based in [Novak and Tyson
2004] and [Restriction point control
of the mammalian cell cycle via the
cyclin E/Cdk2:p27 complex] and makes
use of the scheme done in [Sherr 2002]
and the MAPK Cascade [put reference on
MAPK Cascade] to create a wider
updated model for the regulation of a
healthy cell. The latter model, for
the cancer cell, is derived from the
healthy cell model by altering specific
pathways using as guidance to do so
literature on specific types of cancer
which have major social impact and
whose literature has been already
widely studied [put reference on this
specific cancer], even though it’s a
cancer
with a high mortality rate. After
studying both models, we propose
therapies with different approaches:
Cell Cycle arrest and Apoptosis. We
also compare the mathematical models
efficacy and usefulness in providing
enough information from which to
derive ideas for therapies.
- Alejandro F
Villaverde (IIM-CSIC,
Vigo, Spain) "Identifiability of
mathematical models in biology:
concepts, methodologies,
relationships and implications."
Abstract: Dynamic models of
biological systems are often formulated
as sets of non-linear ordinary
differential equations. They typically
have unknown kinetic parameters, which
must be determined by calibrating the
model with experimental data. A
necessary condition for parameter
estimation is identifiability [1], the
property that, for a certain output,
there is a unique (or finite) set of
parameter values that produces it.
Identifiability can be analysed from two
complementary points of view: structural
(which searches for symmetries or
deficiencies in the model equations that
may prevent parameters from being
uniquely determined) or practical (which
focuses on the limitations introduced by
the quantity and quality of the data
available for parameter estimation). In
this talk we will focus on structural
identifiability, which is a classic
system-theoretic concept that has close
relationships with other structural
properties such as observability,
controllability, and distinguishability.
Indeed, if parameters are considered as
state variables, structural
identifiability can be studied in the
same way as observability using a
differential geometric approach, which
allows the use of a powerful set of
tools for its analysis [2]. The
identifiability viewpoint is also
advantageous for studying other concepts
that have been proposed in more recent
times to describe biological robustness,
such as sloppiness [3] or dynamical
compensation [4]. In this talk we will:
(i) introduce identifiability concepts,
(ii) explain the implications of lack of
identifiability in biological models,
(iii) present a differential geometry
method to analyse structural
identifiability, (iv) analyse the
relationship between structural
identifiability, observability,
controllability, and distinguishability,
and (v) discuss the similarities and
differences between identifiability and
newly introduced concepts such as
sloppiness and dynamical compensation.
References:
[1] AF Villaverde, A Barreiro (2016)
Identifiability of Large Nonlinear
Biochemical Networks.
MATCH Communications in Mathematical and
in Computer Chemistry, 76(2):259-296
[2] AF Villaverde, A Barreiro, A
Papachristodoulou (2016) Structural
identifiability of dynamic systems biology
models.
PLOS Computational Biology,
12(10):e1005153
[3] O-T Chis, AF Villaverde, JR Banga, E
Balsa-Canto (2016) On the relationship
between sloppiness and identifiability.
Mathematical Biosciences, 282:147-161
[4] AF Villaverde, JR
Banga (2017) "Dynamical compensation and
structural identifiability: analysis,
implications, and reconciliation".
arXiv:1703.08415
POSTERS:
Time Performance
Reports from an Emergency Service
Authors: Margarida Pereira, Isabel
Cachapuz
Unidade Local de Saúde de Matosinhos
Abstract ( pdf)
Vitamin D
Insufficiency in Matosinhos Local Health
Unit: A Laboratory Perspective
Authors: Pereira M, Carvalho A, Pinto,
C,Cachapuz
Unidade Local de Saúde de Matosinhos –
ULSM, E.P.E. - Serviço de Patologia Clínica,
Faculdade de Ciências da Universidade do
Porto, Instituto Superior de Engenharia do
Porto & CMUP.
Abstract (pdf)
Deciphering a
prototypical MAP kinase signaling
network using a genetically-encodable
optogenetic INPUT/ERK biosensor OUTPUT
circuit
Authors: Coralie Dessauges(1), Maciej
Dobrzynski(1), Yannick Blum(1), Mustafa
Khammash(2), Olivier Pertz(1).
(1). Institute of Cell Biology, University
of Bern,
(2). Department of Biosystems Science and
Engineering, ETH-Zurich.
Abstract ( pdf)
Understanding
single cell - level MAPK activation
dynamics for manipulation of neuronal
stem cell self - renewal and
differentiation fates
Authors:Pascal Ender (1), Maciej
Dobrzynski (1), Andrea Erni (2), Verdon Taylor
(2), Olivier Pertz (1)
(1) University of Bern, Instute of Cell
Biology;
(2) University of Basel, Department of
Biomedicine.
Abstract ( pdf)
A mathematical
model of the phosphoinositide pathway in
human pulmonary
epithelial cells.
Authors:Daniel Vigário Olivença(1),
Francisco Pinto(1), Eberhard Voit(2)
(1) BIOISI: Biosystems and Integrative
Sciences Institute. Faculdade de Ciências da
Universidade de Lisboa Campo Grande 1749-016
Lisboa, Portugal;
(2) The Wallace H. Coulter Department
of Biomedical Engineering, Georgia
Institute of Technology and Emory
University, 950 Atlantic Drive, Atlanta,
Georgia, 30332-2000, USA;
Abstract ( pdf)
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