---
_id: '21442'
author:
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
citation:
ama: Schlögl A. CA3Simu v1.06 (vargas2026v1). 2026. doi:10.15479/AT-ISTA-21442
apa: Schlögl, A. (2026). CA3Simu v1.06 (vargas2026v1). Institute of Science and
Technology Austria. https://doi.org/10.15479/AT-ISTA-21442
chicago: Schlögl, Alois. “CA3Simu v1.06 (Vargas2026v1).” Institute of Science and
Technology Austria, 2026. https://doi.org/10.15479/AT-ISTA-21442.
ieee: A. Schlögl, “CA3Simu v1.06 (vargas2026v1).” Institute of Science and Technology
Austria, 2026.
ista: Schlögl A. 2026. CA3Simu v1.06 (vargas2026v1), Institute of Science and Technology
Austria, 10.15479/AT-ISTA-21442.
mla: Schlögl, Alois. CA3Simu v1.06 (Vargas2026v1). Institute of Science and
Technology Austria, 2026, doi:10.15479/AT-ISTA-21442.
short: A. Schlögl, (2026).
corr_author: '1'
date_created: 2026-03-12T08:20:46Z
date_published: 2026-03-12T00:00:00Z
date_updated: 2026-03-12T11:28:52Z
day: '12'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.15479/AT-ISTA-21442
ec_funded: 1
file:
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checksum: 441c8827717dcda05f91c127d15cf1e9
content_type: application/gzip
creator: schloegl
date_created: 2026-03-12T08:19:14Z
date_updated: 2026-03-12T08:19:14Z
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file_name: ca3simu-vargas2026v1.tar.gz
file_size: 160410
relation: main_file
success: 1
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checksum: 3c0092076228a15c0a7ae703192d43ea
content_type: text/markdown
creator: schloegl
date_created: 2026-03-12T10:24:45Z
date_updated: 2026-03-12T10:24:45Z
file_id: '21445'
file_name: README.md
file_size: 10923
relation: main_file
success: 1
file_date_updated: 2026-03-12T10:24:45Z
has_accepted_license: '1'
keyword:
- hypocampus
- ca3 simulations
- modelling
license: https://opensource.org/licenses/GPL-3.0
month: '03'
oa: 1
project:
- _id: e62b56fe-ab3c-11f0-94c7-d181dd352b3b
grant_number: '101199096'
name: Synaptic mechanisms of engram storage and retrieval in CA3 hippocampal microcircuits
- _id: bd88be38-d553-11ed-ba76-81d5a70a6ef5
grant_number: P36232
name: Mechanisms of GABA release in hippocampal circuits
- _id: 8d9195e9-16d5-11f0-9cad-d075be887a1e
grant_number: PAT 4178023
name: Synaptic networks of human brain
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glutamatergic synapse
publisher: Institute of Science and Technology Austria
status: public
title: CA3Simu v1.06 (vargas2026v1)
tmp:
legal_code_url: https://www.gnu.org/licenses/gpl-3.0.en.html
name: GNU General Public License 3.0
short: GPL 3.0
type: software
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
year: '2026'
...
---
_id: '8997'
abstract:
- lang: eng
text: Phenomenological relations such as Ohm’s or Fourier’s law have a venerable
history in physics but are still scarce in biology. This situation restrains predictive
theory. Here, we build on bacterial “growth laws,” which capture physiological
feedback between translation and cell growth, to construct a minimal biophysical
model for the combined action of ribosome-targeting antibiotics. Our model predicts
drug interactions like antagonism or synergy solely from responses to individual
drugs. We provide analytical results for limiting cases, which agree well with
numerical results. We systematically refine the model by including direct physical
interactions of different antibiotics on the ribosome. In a limiting case, our
model provides a mechanistic underpinning for recent predictions of higher-order
interactions that were derived using entropy maximization. We further refine the
model to include the effects of antibiotics that mimic starvation and the presence
of resistance genes. We describe the impact of a starvation-mimicking antibiotic
on drug interactions analytically and verify it experimentally. Our extended model
suggests a change in the type of drug interaction that depends on the strength
of resistance, which challenges established rescaling paradigms. We experimentally
show that the presence of unregulated resistance genes can lead to altered drug
interaction, which agrees with the prediction of the model. While minimal, the
model is readily adaptable and opens the door to predicting interactions of second
and higher-order in a broad range of biological systems.
acknowledgement: 'This work was supported in part by Tum stipend of Knafelj foundation
(to B.K.), Austrian Science Fund (FWF) standalone grants P 27201-B22 (to T.B.) and
P 28844(to G.T.), HFSP program Grant RGP0042/2013 (to T.B.), German Research Foundation
(DFG) individual grant BO 3502/2-1 (to T.B.), and German Research Foundation (DFG)
Collaborative Research Centre (SFB) 1310 (to T.B.). '
article_number: e1008529
article_processing_charge: Yes
article_type: original
author:
- first_name: Bor
full_name: Kavcic, Bor
id: 350F91D2-F248-11E8-B48F-1D18A9856A87
last_name: Kavcic
orcid: 0000-0001-6041-254X
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Tobias
full_name: Bollenbach, Tobias
id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
last_name: Bollenbach
orcid: 0000-0003-4398-476X
citation:
ama: Kavcic B, Tkačik G, Bollenbach MT. Minimal biophysical model of combined antibiotic
action. PLOS Computational Biology. 2021;17. doi:10.1371/journal.pcbi.1008529
apa: Kavcic, B., Tkačik, G., & Bollenbach, M. T. (2021). Minimal biophysical
model of combined antibiotic action. PLOS Computational Biology. Public
Library of Science. https://doi.org/10.1371/journal.pcbi.1008529
chicago: Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “Minimal Biophysical
Model of Combined Antibiotic Action.” PLOS Computational Biology. Public
Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1008529.
ieee: B. Kavcic, G. Tkačik, and M. T. Bollenbach, “Minimal biophysical model of
combined antibiotic action,” PLOS Computational Biology, vol. 17. Public
Library of Science, 2021.
ista: Kavcic B, Tkačik G, Bollenbach MT. 2021. Minimal biophysical model of combined
antibiotic action. PLOS Computational Biology. 17, e1008529.
mla: Kavcic, Bor, et al. “Minimal Biophysical Model of Combined Antibiotic Action.”
PLOS Computational Biology, vol. 17, e1008529, Public Library of Science,
2021, doi:10.1371/journal.pcbi.1008529.
short: B. Kavcic, G. Tkačik, M.T. Bollenbach, PLOS Computational Biology 17 (2021).
date_created: 2021-01-08T07:16:18Z
date_published: 2021-01-07T00:00:00Z
date_updated: 2025-06-12T06:33:18Z
day: '07'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1008529
external_id:
isi:
- '000608045000010'
pmid:
- '33411759'
file:
- access_level: open_access
checksum: e29f2b42651bef8e034781de8781ffac
content_type: application/pdf
creator: dernst
date_created: 2021-02-04T12:30:48Z
date_updated: 2021-02-04T12:30:48Z
file_id: '9092'
file_name: 2021_PlosComBio_Kavcic.pdf
file_size: 3690053
relation: main_file
success: 1
file_date_updated: 2021-02-04T12:30:48Z
has_accepted_license: '1'
intvolume: ' 17'
isi: 1
keyword:
- Modelling and Simulation
- Genetics
- Molecular Biology
- Antibiotics
- Drug interactions
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '01'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P27201-B22
name: Revealing the mechanisms underlying drug interactions
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: PLOS Computational Biology
publication_identifier:
issn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
record:
- id: '8930'
relation: research_data
status: public
- id: '7673'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Minimal biophysical model of combined antibiotic action
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2021'
...
---
_id: '9387'
abstract:
- lang: eng
text: We report the complete analysis of a deterministic model of deleterious mutations
and negative selection against them at two haploid loci without recombination.
As long as mutation is a weaker force than selection, mutant alleles remain rare
at the only stable equilibrium, and otherwise, a variety of dynamics are possible.
If the mutation-free genotype is absent, generally the only stable equilibrium
is the one that corresponds to fixation of the mutant allele at the locus where
it is less deleterious. This result suggests that fixation of a deleterious allele
that follows a click of the Muller’s ratchet is governed by natural selection,
instead of random drift.
acknowledgement: This work was supported by the Russian Science Foundation grant N
16-14-10173.
article_number: '110729'
article_processing_charge: No
article_type: original
author:
- first_name: Kseniia
full_name: Khudiakova, Kseniia
id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
last_name: Khudiakova
orcid: 0000-0002-6246-1465
- first_name: Tatiana Yu.
full_name: Neretina, Tatiana Yu.
last_name: Neretina
- first_name: Alexey S.
full_name: Kondrashov, Alexey S.
last_name: Kondrashov
citation:
ama: Khudiakova K, Neretina TY, Kondrashov AS. Two linked loci under mutation-selection
balance and Muller’s ratchet. Journal of Theoretical Biology. 2021;524.
doi:10.1016/j.jtbi.2021.110729
apa: Khudiakova, K., Neretina, T. Y., & Kondrashov, A. S. (2021). Two linked
loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical
Biology. Elsevier . https://doi.org/10.1016/j.jtbi.2021.110729
chicago: Khudiakova, Kseniia, Tatiana Yu. Neretina, and Alexey S. Kondrashov. “Two
Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” Journal
of Theoretical Biology. Elsevier , 2021. https://doi.org/10.1016/j.jtbi.2021.110729.
ieee: K. Khudiakova, T. Y. Neretina, and A. S. Kondrashov, “Two linked loci under
mutation-selection balance and Muller’s ratchet,” Journal of Theoretical Biology,
vol. 524. Elsevier , 2021.
ista: Khudiakova K, Neretina TY, Kondrashov AS. 2021. Two linked loci under mutation-selection
balance and Muller’s ratchet. Journal of Theoretical Biology. 524, 110729.
mla: Khudiakova, Kseniia, et al. “Two Linked Loci under Mutation-Selection Balance
and Muller’s Ratchet.” Journal of Theoretical Biology, vol. 524, 110729,
Elsevier , 2021, doi:10.1016/j.jtbi.2021.110729.
short: K. Khudiakova, T.Y. Neretina, A.S. Kondrashov, Journal of Theoretical Biology
524 (2021).
date_created: 2021-05-12T05:58:42Z
date_published: 2021-04-24T00:00:00Z
date_updated: 2025-06-12T06:40:55Z
day: '24'
department:
- _id: GradSch
doi: 10.1016/j.jtbi.2021.110729
external_id:
isi:
- '000659161500002'
pmid:
- '33901507'
intvolume: ' 524'
isi: 1
keyword:
- General Biochemistry
- Genetics and Molecular Biology
- Modelling and Simulation
- Statistics and Probability
- General Immunology and Microbiology
- Applied Mathematics
- General Agricultural and Biological Sciences
- General Medicine
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/477489v1
month: '04'
oa: 1
oa_version: Preprint
pmid: 1
publication: Journal of Theoretical Biology
publication_identifier:
issn:
- 0022-5193
publication_status: published
publisher: 'Elsevier '
quality_controlled: '1'
scopus_import: '1'
status: public
title: Two linked loci under mutation-selection balance and Muller’s ratchet
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 524
year: '2021'
...
---
_id: '8767'
abstract:
- lang: eng
text: Resources are rarely distributed uniformly within a population. Heterogeneity
in the concentration of a drug, the quality of breeding sites, or wealth can all
affect evolutionary dynamics. In this study, we represent a collection of properties
affecting the fitness at a given location using a color. A green node is rich
in resources while a red node is poorer. More colors can represent a broader spectrum
of resource qualities. For a population evolving according to the birth-death
Moran model, the first question we address is which structures, identified by
graph connectivity and graph coloring, are evolutionarily equivalent. We prove
that all properly two-colored, undirected, regular graphs are evolutionarily equivalent
(where “properly colored” means that no two neighbors have the same color). We
then compare the effects of background heterogeneity on properly two-colored graphs
to those with alternative schemes in which the colors are permuted. Finally, we
discuss dynamic coloring as a model for spatiotemporal resource fluctuations,
and we illustrate that random dynamic colorings often diminish the effects of
background heterogeneity relative to a proper two-coloring.
acknowledgement: 'We thank Igor Erovenko for many helpful comments on an earlier version
of this paper. : Army Research Laboratory (grant W911NF-18-2-0265) (M.A.N.); the
Bill & Melinda Gates Foundation (grant OPP1148627) (M.A.N.); the NVIDIA Corporation
(A.M.). The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript.'
article_number: e1008402
article_processing_charge: No
article_type: original
author:
- first_name: Kamran
full_name: Kaveh, Kamran
last_name: Kaveh
- first_name: Alex
full_name: McAvoy, Alex
last_name: McAvoy
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Kaveh K, McAvoy A, Chatterjee K, Nowak MA. The Moran process on 2-chromatic
graphs. PLOS Computational Biology. 2020;16(11). doi:10.1371/journal.pcbi.1008402
apa: Kaveh, K., McAvoy, A., Chatterjee, K., & Nowak, M. A. (2020). The Moran
process on 2-chromatic graphs. PLOS Computational Biology. Public Library
of Science. https://doi.org/10.1371/journal.pcbi.1008402
chicago: Kaveh, Kamran, Alex McAvoy, Krishnendu Chatterjee, and Martin A. Nowak.
“The Moran Process on 2-Chromatic Graphs.” PLOS Computational Biology.
Public Library of Science, 2020. https://doi.org/10.1371/journal.pcbi.1008402.
ieee: K. Kaveh, A. McAvoy, K. Chatterjee, and M. A. Nowak, “The Moran process on
2-chromatic graphs,” PLOS Computational Biology, vol. 16, no. 11. Public
Library of Science, 2020.
ista: Kaveh K, McAvoy A, Chatterjee K, Nowak MA. 2020. The Moran process on 2-chromatic
graphs. PLOS Computational Biology. 16(11), e1008402.
mla: Kaveh, Kamran, et al. “The Moran Process on 2-Chromatic Graphs.” PLOS Computational
Biology, vol. 16, no. 11, e1008402, Public Library of Science, 2020, doi:10.1371/journal.pcbi.1008402.
short: K. Kaveh, A. McAvoy, K. Chatterjee, M.A. Nowak, PLOS Computational Biology
16 (2020).
date_created: 2020-11-18T07:20:23Z
date_published: 2020-11-05T00:00:00Z
date_updated: 2025-06-12T07:02:01Z
day: '05'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1371/journal.pcbi.1008402
external_id:
isi:
- '000591317200004'
pmid:
- '33151935'
file:
- access_level: open_access
checksum: 555456dd0e47bcf9e0994bcb95577e88
content_type: application/pdf
creator: dernst
date_created: 2020-11-18T07:26:10Z
date_updated: 2020-11-18T07:26:10Z
file_id: '8768'
file_name: 2020_PlosCompBio_Kaveh.pdf
file_size: 2498594
relation: main_file
success: 1
file_date_updated: 2020-11-18T07:26:10Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '11'
keyword:
- Ecology
- Modelling and Simulation
- Computational Theory and Mathematics
- Genetics
- Ecology
- Evolution
- Behavior and Systematics
- Molecular Biology
- Cellular and Molecular Neuroscience
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLOS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: The Moran process on 2-chromatic graphs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 16
year: '2020'
...