Microorganisms,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2149 - 2149
Published: Aug. 24, 2023
Secondary
metabolites
are
not
essential
for
the
growth
of
microorganisms,
but
they
play
a
critical
role
in
how
microbes
interact
with
their
surroundings.
In
addition
to
this
important
ecological
role,
secondary
also
have
variety
agricultural,
medicinal,
and
industrial
uses,
thus
examination
metabolism
plants
is
growing
scientific
field.
While
chemical
production
certain
possible,
industrial-scale
microbial
green
economically
attractive
alternative.
This
even
more
true,
given
advances
bioengineering
that
allow
us
alter
workings
order
increase
compounds
interest.
type
engineering
requires
detailed
knowledge
"chassis"
organism's
metabolism.
Since
resources
catalytic
capacity
enzymes
finite,
it
examine
tradeoffs
between
various
bioprocesses
an
engineered
system
its
working
manner
minimally
perturbs
robustness
while
allowing
maximum
product
The
silico
multi-objective
analysis
using
genome-scale
models
ideal
method
such
examinations.
Medical Science of Ukraine (MSU),
Journal Year:
2024,
Volume and Issue:
20(2), P. 68 - 78
Published: June 30, 2024
Background.
The
study
of
the
kinetics
biochemical
reactions
provides
a
better
understanding
how
biological
processes
occur
in
living
organisms.
Understanding
peculiarities
such
is
important
for
development
new
technologies,
particular
production
biologically
active
substances
and
synthesis
drugs.
A
powerful
tool
solving
problems
reaction
mathematical
modelling,
which
can
be
carried
out
using
computer
systems,
MATHCAD
analytical
toolkit.
Aim:
to
substantiate
feasibility
effectiveness
toolkit
solve
kinetic
modelling
pharmaceutical
research,
review
capabilities
pharmacy.
Materials
methods.
In
context
studying
rate
enzymatic
developing
models,
as
Michaelis-Menten
model,
describe
enzymes
catalyze
transformation
substrates,
use
system
(CMS)
considered.
CMS
software
package
environment
performing
computations,
visualization.
possibilities
create
models
based
on
equations
are
demonstrated.
This
involves
creation
differential
describing
changes
reagent
concentrations
over
time.
These
were
solved
numerical
methods
MATHCAD.
addition,
results
obtained
visualized
3D
graphics
stages
have
been
determined.
Results.
effective
of:
(1)
reactions,
e.g.
an
enzyme
catalyzes
conversion
substrate
into
product;
(2)
that
take
place
vessels
reagents
mix
interact;
(3)
solution
kinetics;
(4)
effect
inhibitors
or
activators
reactions;
(5)
scenarios
interaction
determine
when
different
introduced;
(6)
cases
where
accompanied
by
diffusion
through
membranes
other
semi-permeable
barriers;
(7)
(8)
decomposition
substances,
example
compounds
body
environment;
(9)
predicting
conditions
medium
(temperature,
pH,
concentration
reagents)
reactions.
It
substantiated
model
descriptions
forming
functions
including
metabolism,
physiological
phenomena.
Tools
used
visualize
form
three-dimensional
graphics,
improves
mechanism
allows
more
thorough
analysis
its
kinetics.
Conclusion.
optimized
ergonomic
interface.
Particular
advantages
ability
work
with
symbolic
expressions
wide
range
built-in
tools
exploring
visualizing
results.
may
both
further
scientific
research
implementation
training
future
Masters
Pharmacy
discipline
"Computer
Modelling
Pharmacy"
higher
medical
education
institutions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 24, 2024
Abstract
Temperature
is
a
critical
environmental
factor
affecting
nearly
all
plant
processes,
including
growth,
development,
and
yield.
Yet,
despite
decades
of
research,
we
lack
the
ability
to
predict
performance
at
different
temperatures,
limiting
development
climate-resilient
crops.
Further,
there
pressing
need
bridge
gap
between
prediction
physiological
molecular
traits
improve
our
understanding
manipulation
temperature
responses.
Here,
developed
first
enzyme-constrained
model
Arabidopsis
thaliana
’s
metabolism,
facilitating
predictions
growth-related
phenotypes
temperatures.
We
showed
that
can
be
employed
for
in
silico
identification
genes
affect
growth
suboptimal
temperature.
Using
mutant
lines,
validated
predicted
demonstrating
potential
metabolic
modeling
accurately
predicting
thermal
The
temperature-dependent
provides
template
used
developing
sophisticated
strategies
engineer
