---
OA_place: publisher
OA_type: hybrid
_id: '19701'
abstract:
- lang: eng
  text: 'Living systems are characterized by controlled flows of matter, energy, and
    information. While the biophysics community has productively engaged with the
    first two, addressing information flows has been more challenging, with some scattered
    success in evolutionary theory and a more coherent track record in neuroscience.
    Nevertheless, interdisciplinary work of the past two decades at the interface
    of biophysics, quantitative biology, and engineering has led to an emerging mathematical
    language for describing information flows at the molecular scale. This is where
    the central processes of life unfold: from detection and transduction of environmental
    signals to the readout or copying of genetic information and the triggering of
    adaptive cellular responses. Such processes are coordinated by complex biochemical
    reaction networks that operate at room temperature, are out of equilibrium, and
    use low copy numbers of diverse molecular species with limited interaction specificity.
    Here we review how flows of information through biochemical networks can be formalized
    using information-theoretic quantities, quantified from data, and computed within
    various modeling frameworks. Optimization of information flows is presented as
    a candidate design principle that navigates the relevant time, energy, crosstalk,
    and metabolic constraints to predict reliable cellular signaling and gene regulation
    architectures built of individually noisy components.'
acknowledgement: G.T. acknowledges the support of the Human Frontiers Science Program
  (HFSP), the Austrian Science Fund (FWF 10.55776/P34015, 10.55776/P28844), and the
  European Research Council Synergy DYNATRANS (ERC-2023-SyG 101118866) grant. P.R.t.W.
  performed his work at the research institute AMOLF and acknowledges support from
  the Dutch Research Council (NWO) and funding from the European Research Council
  (ERC) under the European Union's Horizon 2020 research and innovation program (grant
  agreement 885065).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Pieter Rein Ten
  full_name: Wolde, Pieter Rein Ten
  last_name: Wolde
citation:
  ama: Tkačik G, Wolde PRT. Information processing in biochemical networks. <i>Annual
    Review of Biophysics</i>. 2025;54:249-274. doi:<a href="https://doi.org/10.1146/annurev-biophys-060524-102720">10.1146/annurev-biophys-060524-102720</a>
  apa: Tkačik, G., &#38; Wolde, P. R. T. (2025). Information processing in biochemical
    networks. <i>Annual Review of Biophysics</i>. Annual Reviews. <a href="https://doi.org/10.1146/annurev-biophys-060524-102720">https://doi.org/10.1146/annurev-biophys-060524-102720</a>
  chicago: Tkačik, Gašper, and Pieter Rein Ten Wolde. “Information Processing in Biochemical
    Networks.” <i>Annual Review of Biophysics</i>. Annual Reviews, 2025. <a href="https://doi.org/10.1146/annurev-biophys-060524-102720">https://doi.org/10.1146/annurev-biophys-060524-102720</a>.
  ieee: G. Tkačik and P. R. T. Wolde, “Information processing in biochemical networks,”
    <i>Annual Review of Biophysics</i>, vol. 54. Annual Reviews, pp. 249–274, 2025.
  ista: Tkačik G, Wolde PRT. 2025. Information processing in biochemical networks.
    Annual Review of Biophysics. 54, 249–274.
  mla: Tkačik, Gašper, and Pieter Rein Ten Wolde. “Information Processing in Biochemical
    Networks.” <i>Annual Review of Biophysics</i>, vol. 54, Annual Reviews, 2025,
    pp. 249–74, doi:<a href="https://doi.org/10.1146/annurev-biophys-060524-102720">10.1146/annurev-biophys-060524-102720</a>.
  short: G. Tkačik, P.R.T. Wolde, Annual Review of Biophysics 54 (2025) 249–274.
corr_author: '1'
date_created: 2025-05-18T22:02:50Z
date_published: 2025-05-01T00:00:00Z
date_updated: 2026-08-12T09:25:42Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1146/annurev-biophys-060524-102720
external_id:
  isi:
  - '001488641500013'
  pmid:
  - '39929539'
file:
- access_level: open_access
  checksum: 9ab623b2bc45dcd5fdd2c9577ea8ae9f
  content_type: application/pdf
  creator: dernst
  date_created: 2025-05-19T07:55:51Z
  date_updated: 2025-05-19T07:55:51Z
  file_id: '19710'
  file_name: 2025_AnnualReviewBiophysics_Tkacik.pdf
  file_size: 317925
  relation: main_file
  success: 1
file_date_updated: 2025-05-19T07:55:51Z
has_accepted_license: '1'
intvolume: '        54'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 249-274
pmid: 1
project:
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
- _id: 254E9036-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P28844-B27
  name: Biophysics of information processing in gene regulation
- _id: 7bfe6a29-9f16-11ee-852c-c0da5e2045d9
  grant_number: '101118866'
  name: 'Transcription in 4D: the dynamic interplay between chromatin architecture
    and gene expression in developing pseudo-embryos'
- _id: 255008E4-B435-11E9-9278-68D0E5697425
  grant_number: RGP0065/2012
  name: Information processing and computation in fish groups
publication: Annual Review of Biophysics
publication_identifier:
  eissn:
  - 1936-1238
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: Information processing in biochemical networks
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: 54
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18910'
abstract:
- lang: eng
  text: Proteins often undergo large-scale conformational transitions, in which secondary
    and tertiary structure elements (loops, helices, and domains) change their structures
    or their positions with respect to each other. Simple considerations suggest that
    such dynamics should be relatively fast, but the functional cycles of many proteins
    are often relatively slow. Sophisticated experimental methods are starting to
    tackle this dichotomy and shed light on the contribution of large-scale conformational
    dynamics to protein function. In this review, we focus on the contribution of
    single-molecule Förster resonance energy transfer and nuclear magnetic resonance
    (NMR) spectroscopies to the study of conformational dynamics. We briefly describe
    the state of the art in each of these techniques and then point out their similarities
    and differences, as well as the relative strengths and weaknesses of each. Several
    case studies, in which the connection between fast conformational dynamics and
    slower function has been demonstrated, are then introduced and discussed. These
    examples include both enzymes and large protein machines, some of which have been
    studied by both NMR and fluorescence spectroscopies.
acknowledgement: G.H. is the incumbent of the Hilda Pomeraniec Memorial Professorial
  Chair. He has been partially funded by the European Research Council under the European
  Union's Horizon 2020 research and innovation program (grant 742637, SMALLOSTERY),
  by National Science Foundation–US-Israel Binational Science Foundation grant 2021700,
  and by an Israel Science Foundation Breakthrough grant (1924/22). P.S. acknowledges
  funding from the Austrian Science Fund (project “AlloSpace,” I05812) and intramural
  funding from the Institute of Science and Technology Austria.
article_processing_charge: No
article_type: original
author:
- first_name: Paul
  full_name: Schanda, Paul
  id: 7B541462-FAF6-11E9-A490-E8DFE5697425
  last_name: Schanda
  orcid: 0000-0002-9350-7606
- first_name: Gilad
  full_name: Haran, Gilad
  last_name: Haran
citation:
  ama: Schanda P, Haran G. NMR and single-molecule FRET insights into fast protein
    motions and their relation to function. <i>Annual Review of Biophysics</i>. 2024;53:247-273.
    doi:<a href="https://doi.org/10.1146/annurev-biophys-070323-022428">10.1146/annurev-biophys-070323-022428</a>
  apa: Schanda, P., &#38; Haran, G. (2024). NMR and single-molecule FRET insights
    into fast protein motions and their relation to function. <i>Annual Review of
    Biophysics</i>. Annual Reviews. <a href="https://doi.org/10.1146/annurev-biophys-070323-022428">https://doi.org/10.1146/annurev-biophys-070323-022428</a>
  chicago: Schanda, Paul, and Gilad Haran. “NMR and Single-Molecule FRET Insights
    into Fast Protein Motions and Their Relation to Function.” <i>Annual Review of
    Biophysics</i>. Annual Reviews, 2024. <a href="https://doi.org/10.1146/annurev-biophys-070323-022428">https://doi.org/10.1146/annurev-biophys-070323-022428</a>.
  ieee: P. Schanda and G. Haran, “NMR and single-molecule FRET insights into fast
    protein motions and their relation to function,” <i>Annual Review of Biophysics</i>,
    vol. 53. Annual Reviews, pp. 247–273, 2024.
  ista: Schanda P, Haran G. 2024. NMR and single-molecule FRET insights into fast
    protein motions and their relation to function. Annual Review of Biophysics. 53,
    247–273.
  mla: Schanda, Paul, and Gilad Haran. “NMR and Single-Molecule FRET Insights into
    Fast Protein Motions and Their Relation to Function.” <i>Annual Review of Biophysics</i>,
    vol. 53, Annual Reviews, 2024, pp. 247–73, doi:<a href="https://doi.org/10.1146/annurev-biophys-070323-022428">10.1146/annurev-biophys-070323-022428</a>.
  short: P. Schanda, G. Haran, Annual Review of Biophysics 53 (2024) 247–273.
corr_author: '1'
date_created: 2025-01-27T13:40:34Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2025-09-09T12:06:24Z
day: '01'
ddc:
- '570'
department:
- _id: PaSc
doi: 10.1146/annurev-biophys-070323-022428
external_id:
  isi:
  - '001278237500012'
  pmid:
  - '38346243'
file:
- access_level: open_access
  checksum: c90861542ae3f9147939030d5bafed3c
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-27T13:44:59Z
  date_updated: 2025-01-27T13:44:59Z
  file_id: '18911'
  file_name: 2024_AnnualReviews_Schanda.pdf
  file_size: 3025589
  relation: main_file
  success: 1
file_date_updated: 2025-01-27T13:44:59Z
has_accepted_license: '1'
intvolume: '        53'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 247-273
pmid: 1
project:
- _id: eb9c82eb-77a9-11ec-83b8-aadd536561cf
  grant_number: I05812
  name: AlloSpace. The emergence and mechanisms of allostery
publication: Annual Review of Biophysics
publication_identifier:
  eissn:
  - 1936-1238
  issn:
  - 1936-122X
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: NMR and single-molecule FRET insights into fast protein motions and their relation
  to function
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 53
year: '2024'
...
---
_id: '17325'
abstract:
- lang: eng
  text: Bacterial ion fluxes are involved in the generation of energy, transport,
    and motility. As such, bacterial electrophysiology is fundamentally important
    for the bacterial life cycle, but it is often neglected and consequently, by and
    large, not understood. Arguably, the two main reasons for this are the complexity
    of measuring relevant variables in small cells with a cell envelope that contains
    the cell wall and the fact that, in a unicellular organism, relevant variables
    become intertwined in a nontrivial manner. To help give bacterial electrophysiology
    studies a firm footing, in this review, we go back to basics. We look first at
    the biophysics of bacterial membrane potential, and then at the approaches and
    models developed mostly for the study of neurons and eukaryotic mitochondria.
    We discuss their applicability to bacterial cells. Finally, we connect bacterial
    membrane potential with other relevant (electro)physiological variables and summarize
    methods that can be used to both measure and influence bacterial electrophysiology.
acknowledgement: We would like to thank all members of the Pilizota lab, as well as
  Calin Guet, Orkun Soyer, Munehiro Asally, Peter Swain, and in particular Matt Scott
  and Ariel Amir, for their support, comments, and useful discussions. T.P. and W.-C.L.
  were supported by the Leverhulme Trust, grant RPG-2019-187, and T.P. is supported
  by EPSRC Fellowship EP/V03264X/1. E.K. was supported by a European Molecular Biology
  Organization Long-Term Postdoctoral Fellowship, ALTF 44-2021.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Wei Chang
  full_name: Lo, Wei Chang
  last_name: Lo
- first_name: Ekaterina
  full_name: Krasnopeeva, Ekaterina
  id: 1F1EE44A-BF83-11EA-B3C1-BB9CC619BF3A
  last_name: Krasnopeeva
- first_name: Teuta
  full_name: Pilizota, Teuta
  last_name: Pilizota
citation:
  ama: Lo WC, Krasnopeeva E, Pilizota T. Bacterial Electrophysiology. <i>Annual Review
    of Biophysics</i>. 2024;53:487-510. doi:<a href="https://doi.org/10.1146/annurev-biophys-030822-032215">10.1146/annurev-biophys-030822-032215</a>
  apa: Lo, W. C., Krasnopeeva, E., &#38; Pilizota, T. (2024). Bacterial Electrophysiology.
    <i>Annual Review of Biophysics</i>. Annual Reviews. <a href="https://doi.org/10.1146/annurev-biophys-030822-032215">https://doi.org/10.1146/annurev-biophys-030822-032215</a>
  chicago: Lo, Wei Chang, Ekaterina Krasnopeeva, and Teuta Pilizota. “Bacterial Electrophysiology.”
    <i>Annual Review of Biophysics</i>. Annual Reviews, 2024. <a href="https://doi.org/10.1146/annurev-biophys-030822-032215">https://doi.org/10.1146/annurev-biophys-030822-032215</a>.
  ieee: W. C. Lo, E. Krasnopeeva, and T. Pilizota, “Bacterial Electrophysiology,”
    <i>Annual Review of Biophysics</i>, vol. 53. Annual Reviews, pp. 487–510, 2024.
  ista: Lo WC, Krasnopeeva E, Pilizota T. 2024. Bacterial Electrophysiology. Annual
    Review of Biophysics. 53, 487–510.
  mla: Lo, Wei Chang, et al. “Bacterial Electrophysiology.” <i>Annual Review of Biophysics</i>,
    vol. 53, Annual Reviews, 2024, pp. 487–510, doi:<a href="https://doi.org/10.1146/annurev-biophys-030822-032215">10.1146/annurev-biophys-030822-032215</a>.
  short: W.C. Lo, E. Krasnopeeva, T. Pilizota, Annual Review of Biophysics 53 (2024)
    487–510.
date_created: 2024-07-28T22:01:09Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2025-09-08T08:34:43Z
day: '01'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1146/annurev-biophys-030822-032215
external_id:
  isi:
  - '001278237500021'
  pmid:
  - '38382113'
file:
- access_level: open_access
  checksum: e0505553b3cee624fa865f0cc5a99ecc
  content_type: application/pdf
  creator: dernst
  date_created: 2024-07-29T10:56:01Z
  date_updated: 2024-07-29T10:56:01Z
  file_id: '17339'
  file_name: 2024_AnnualReviewBiophys_Lo.pdf
  file_size: 1276645
  relation: main_file
  success: 1
file_date_updated: 2024-07-29T10:56:01Z
has_accepted_license: '1'
intvolume: '        53'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 487-510
pmid: 1
project:
- _id: eb872896-77a9-11ec-83b8-f59a38ec17f8
  grant_number: ALTF 44-2021
  name: 'Bacterial cytoplasm glass transition: passive physiological switch or active
    survival strategy'
publication: Annual Review of Biophysics
publication_identifier:
  eissn:
  - 1936-1238
  issn:
  - 1936-122X
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bacterial Electrophysiology
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 53
year: '2024'
...
