Physiology,
Год журнала:
2024,
Номер
39(5), С. 313 - 323
Опубликована: Апрель 16, 2024
Significant
knowledge
gaps
exist
regarding
the
responses
of
cells,
tissues,
and
organs
to
organismal
death.
Examining
survival
mechanisms
influenced
by
metabolism
environment,
this
research
has
potential
transform
regenerative
medicine,
redefine
legal
death,
provide
insights
into
life's
physiological
limits,
paralleling
inquiries
in
embryogenesis.
Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Март 28, 2024
Abstract
A
defining
feature
of
biology
is
the
use
a
multiscale
architecture,
ranging
from
molecular
networks
to
cells,
tissues,
organs,
whole
bodies,
and
swarms.
Crucially
however,
not
only
nested
structurally,
but
also
functionally:
each
level
able
solve
problems
in
distinct
problem
spaces,
such
as
physiological,
morphological,
behavioral
state
space.
Percolating
adaptive
functionality
one
competent
subunits
higher
functional
organization
requires
collective
dynamics:
multiple
components
must
work
together
achieve
specific
outcomes.
Here
we
overview
number
biological
examples
at
different
scales
which
highlight
ability
cellular
material
make
decisions
that
implement
cooperation
toward
homeodynamic
endpoints,
intelligence
by
solving
cell,
tissue,
whole-organism
levels.
We
explore
hypothesis
province
groups
animals,
an
important
symmetry
exists
between
science
swarms
competencies
cells
other
systems
scales.
then
briefly
outline
implications
this
approach,
possible
impact
tools
field
diverse
for
regenerative
medicine
synthetic
bioengineering.
Trends in Molecular Medicine,
Год журнала:
2023,
Номер
29(9), С. 687 - 710
Опубликована: Июль 20, 2023
The
remarkable
anatomical
homeostasis
exhibited
by
complex
living
organisms
suggests
that
they
are
inherently
reprogrammable
information-processing
systems
offer
numerous
interfaces
to
their
physiological
and
problem-solving
capacities.
We
briefly
review
data
suggesting
the
multiscale
competency
of
forms
affords
a
new
path
for
biomedicine
exploits
innate
collective
intelligence
tissues
organs.
concept
tissue-level
allostatic
goal-directedness
is
already
bearing
fruit
in
clinical
practice.
sketch
roadmap
towards
'somatic
psychiatry'
using
advances
bioelectricity
behavioral
neuroscience
design
methods
induce
self-repair
structure
function.
Relaxing
assumption
cellular
control
mechanisms
static,
exploiting
powerful
concepts
from
cybernetics,
science,
developmental
biology
may
spark
definitive
solutions
current
biomedical
challenges.
Communicative & Integrative Biology,
Год журнала:
2025,
Номер
18(1)
Опубликована: Фев. 17, 2025
We
argue
here
that
the
Origin
of
Life
(OOL)
problem
is
not
just
a
chemistry
but
also,
and
primarily,
cognitive
science
problem.
When
interpreted
through
lens
Conway-Kochen
theorem
Free
Energy
Principle,
contemporary
physics
characterizes
all
complex
dynamical
systems
persist
time
as
Bayesian
agents.
If
persistent
are
to
some
–
perhaps
only
minimal
extent
cognitive,
alive,
or
living
subset
systems?
no
bright
line
can
be
drawn,
we
re-assess,
from
this
perspective,
Fermi
paradox
Drake
equation.
conclude
improving
our
abilities
recognize
communicate
with
diverse
intelligences
in
embodiments,
whether
based
on
familiar
biochemistry
not,
will
either
resolve
obviate
OOL
Nucleic Acids Research,
Год журнала:
2025,
Номер
53(1)
Опубликована: Янв. 7, 2025
Accurate
protein
synthesis
requires
ribosomes
to
integrate
signals
from
distant
functional
sites
and
execute
complex
dynamics.
Despite
advances
in
understanding
ribosome
structure
function,
two
key
questions
remain:
how
information
is
transmitted
between
these
sites,
ribosomal
movements
are
synchronized?
We
recently
highlighted
the
existence
of
networks,
likely
evolved
participate
signaling.
Here,
we
investigate
relationship
networks
Our
findings
show
that
major
motion
centers
bacterial
interact
specifically
with
r-proteins,
RNA
exhibits
high
mobility
around
each
r-protein.
This
suggests
periodic
electrostatic
changes
context
negatively
charged
residues
(Glu
Asp)
induce
RNA-protein
'distance-approach'
cycles,
controlling
during
translocation.
These
play
a
critical
role
modulating
repulsion
proteins,
thus
coordinating
propose
r-protein
synchronize
dynamics
through
an
'electrostatic
domino'
effect,
extending
concept
allostery
regulation
within
supramolecular
assemblies.
Many
applications
in
biomedicine
and
synthetic
bioengineering
rely
on
understanding,
mapping,
predicting,
controlling
the
complex
behavior
of
chemical
genetic
networks.
The
emerging
field
diverse
intelligence
investigates
problem-solving
capacities
unconventional
agents.
However,
few
quantitative
tools
exist
for
exploring
competencies
non-conventional
systems.
Here,
we
view
gene
regulatory
networks
(GRNs)
as
agents
navigating
a
problem
space
develop
automated
to
map
robust
goal
states
GRNs
can
reach
despite
perturbations.
Our
contributions
include:
(1)
Adapting
curiosity-driven
exploration
algorithms
from
AI
discover
range
reachable
GRNs,
(2)
Proposing
empirical
tests
inspired
by
behaviorist
approaches
assess
their
navigation
competencies.
data
shows
that
models
inferred
biological
wide
spectrum
steady
states,
exhibiting
various
physiological
network
dynamics
without
requiring
structural
changes
properties
or
connectivity.
We
also
explore
applicability
these
‘behavioral
catalogs’
comparing
evolved
across
networks,
designing
drug
interventions
biomedical
contexts
bioengineering.
These
emphasis
behavior-shaping
open
new
paths
efficiently
For
interactive
version
this
paper,
please
visit
https://developmentalsystems.org/curious-exploration-of-grn-competencies
.
Advanced Intelligent Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 29, 2025
Recent
discussions
and
debate
around
artificial
intelligence
(AI)
its
status
are
notably
incomplete,
missing
the
implications
of
highly
relevant
aspects
emerging
fields
diverse
(DI)
synthetic
morphology,
as
well
basic
facts
developmental
biology.
Herein,
it
is
argued
that
human
flourishing
impossible
without
an
appreciation
space
possible
beings
ways
in
which
today's
intelligent
machine
debates
about
universal
existential
questions
facing
biological
beings,
not
just
AI.
The
inevitable
arrival
a
wide
set
unconventional
bodies
minds
humans
modify
create
new
forms
will
disrupt
untenable
old
narratives
what
people
how
to
recognize
their
sentient
allies
unfamiliar
guises.
issues
engendered
by
advent
AI
from
perspective
field
DI
evolutionary
history
discussed.
Emergence
of
novel
processes,
properties,
structures,
and
systems
is
a
poorly
understood
phenomenon.
Emergence,
information
energy
are
interrelated
properties
nature:
it
takes
free
(energy
that
produces
work,
designed
as
F)
to
acquire
information,
increment
energy.
Useful
(Φ),
the
one
increases
energy,
differs
from
not
producing
or
entropy.
Energy
obeys
all
laws
thermodynamics,
while
may
not.
When
interact,
levels
emerge.
Information
can
reveal
itself
in
different
forms
(as
entropy,
order,
complexity,
physically
encoded,
mechanical,
biological,
structural,
neural
social
networks,
etc.).
increase
by
reducing
entropy
an
open
system,
capturing
surroundings.
The
dynamics
has
been
studied
mostly
physical-chemistry
engineering.
Now
we
find
everywhere,
including
computer
sciences,
genetics,
biotechnology,
experimental
law.
In
emergent
new
possibilities
increasing
useful
appear.
Emergent
complexity
visible
transitions
subatomic
particles
atoms,
atoms
molecules,
cells,
organisms,
societies
ecosystems.
A
law
for
irreversible
thermodynamics
stating
ΔF
~
ΔΦ,
evidenced
empirically
these
confirming
INCREASES
IN
USEFUL
INFORMATION
AND
INCREMENTS
FREE
ENERGY
ARE
COUPLED.
As
helps
access
more
evolution
natural
selection
accumulates
ever
giving
birth
life.
contrast,
decreases
might
affect
amount
available
system.
More
noise
misleading
which
These
relationships
help
us
understand
life,
societies,
ecosystems,
autonomous
artificial
Quantifying
concomitant
changes
needed
relationship
between
them.
endeavor
achieve
this
begun
(Jaffe
2023
[https://www.qeios.com/read/2VWCJG.5]).