Molecular motor explained

Molecular motors are natural (biological) or artificial molecular machines that are the essential agents of movement in living organisms. In general terms, a motor is a device that consumes energy in one form and converts it into motion or mechanical work; for example, many protein-based molecular motors harness the chemical free energy released by the hydrolysis of ATP in order to perform mechanical work.[1] In terms of energetic efficiency, this type of motor can be superior to currently available man-made motors. One important difference between molecular motors and macroscopic motors is that molecular motors operate in the thermal bath, an environment in which the fluctuations due to thermal noise are significant.

Examples

Some examples of biologically important molecular motors:[2]

A recent study has also shown that certain enzymes, such as Hexokinase and Glucose Oxidase, are aggregating or fragmenting during catalysis. This changes their hydrodynamic size that can affect enhanced diffusion measurements.[13]

Organelle and vesicle transport

There are two major families of molecular motors that transport organelles throughout the cell. These families include the dynein family and the kinesin family. Both have very different structures from one another and different ways of achieving a similar goal of moving organelles around the cell. These distances, though only few micrometers, are all preplanned out using microtubules.[15]

These molecular motors tend to take the path of the microtubules. This is most likely due to the facts that the microtubules spring forth out of the centrosome and surround the entire volume of the cell. This in turn creates a "Rail system" of the whole cell and paths leading to its organelles.

Theoretical considerations

Because the motor events are stochastic, molecular motors are often modeled with the Fokker–Planck equation or with Monte Carlo methods. These theoretical models are especially useful when treating the molecular motor as a Brownian motor.

Experimental observation

In experimental biophysics, the activity of molecular motors is observed with many different experimental approaches, among them:

Many more techniques are also used. As new technologies and methods are developed, it is expected that knowledge of naturally occurring molecular motors will be helpful in constructing synthetic nanoscale motors.

Non-biological

See main article: Synthetic molecular motor. Recently, chemists and those involved in nanotechnology have begun to explore the possibility of creating molecular motors de novo. [16] These synthetic molecular motors currently suffer many limitations that confine their use to the research laboratory. However, many of these limitations may be overcome as our understanding of chemistry and physics at the nanoscale increases. One step toward understanding nanoscale dynamics was made with the study of catalyst diffusion in the Grubb's catalyst system.[17] Other systems like the nanocars, while not technically motors, are also illustrative of recent efforts towards synthetic nanoscale motors.

Other non-reacting molecules can also behave as motors. This has been demonstrated by using dye molecules that move directionally in gradients of polymer solution through favorable hydrophobic interactions.[18] Another recent study has shown that dye molecules, hard and soft colloidal particles are able to move through gradient of polymer solution through excluded volume effects.[19]

See also

External links

Notes and References

  1. Bustamante C, Chemla YR, Forde NR, Izhaky D . Mechanical processes in biochemistry . Annual Review of Biochemistry . 73 . 705–48 . 2004 . 15189157 . 10.1146/annurev.biochem.72.121801.161542 . 28061339 .
  2. Book: Freeman . Nelson P, Radosavljevic M, Bromberg S . Biological physics . 2004 .
  3. Tsunoda SP, Aggeler R, Yoshida M, Capaldi RA . Rotation of the c subunit oligomer in fully functional F1Fo ATP synthase . Proceedings of the National Academy of Sciences of the United States of America . 98 . 3 . 898–902 . January 2001 . 11158567 . 14681 . 10.1073/pnas.031564198 . 2001PNAS...98..898T . free .
  4. Dworkin J, Losick R . Does RNA polymerase help drive chromosome segregation in bacteria? . Proceedings of the National Academy of Sciences of the United States of America . 99 . 22 . 14089–94 . October 2002 . 12384568 . 137841 . 10.1073/pnas.182539899 . 2002PNAS...9914089D . free .
  5. Hubscher U, Maga G, Spadari S . Eukaryotic DNA polymerases . Annual Review of Biochemistry . 71 . 133–63 . 2002 . 12045093 . 10.1146/annurev.biochem.71.090501.150041 . 26171993 .
  6. Peterson CL . The SMC family: novel motor proteins for chromosome condensation? . Cell . 79 . 3 . 389–92 . November 1994 . 7954805 . 10.1016/0092-8674(94)90247-X . 28364947 .
  7. Smith DE, Tans SJ, Smith SB, Grimes S, Anderson DL, Bustamante C . The bacteriophage straight phi29 portal motor can package DNA against a large internal force . Nature . 413 . 6857 . 748–52 . October 2001 . 11607035 . 10.1038/35099581 . 4424168 . 2001Natur.413..748S .
  8. Harvey SC . The scrunchworm hypothesis: transitions between A-DNA and B-DNA provide the driving force for genome packaging in double-stranded DNA bacteriophages . Journal of Structural Biology . 189 . 1 . 1–8 . January 2015 . 25486612 . 4357361 . 10.1016/j.jsb.2014.11.012 .
  9. Zhao X, Gentile K, Mohajerani F, Sen A . Powering Motion with Enzymes . Accounts of Chemical Research . 51 . 10 . 2373–2381 . October 2018 . 30256612 . 10.1021/acs.accounts.8b00286 . 52845451 .
  10. Ghosh S, Somasundar A, Sen A . 2021-03-10. Enzymes as Active Matter . Annual Review of Condensed Matter Physics. en. 12. 1. 177–200. 10.1146/annurev-conmatphys-061020-053036 . 2021ARCMP..12..177G . 229411011. free.
  11. Zhang Y, Hess H . Enhanced Diffusion of Catalytically Active Enzymes . ACS Central Science . 5 . 6 . 939–948 . June 2019 . 31263753 . 6598160 . 10.1021/acscentsci.9b00228 .
  12. Mandal . Niladri Sekhar . Sen . Ayusman . Astumian . R. Dean . 2023-03-15 . Kinetic Asymmetry versus Dissipation in the Evolution of Chemical Systems as Exemplified by Single Enzyme Chemotaxis . Journal of the American Chemical Society . en . 145 . 10 . 5730–5738 . 10.1021/jacs.2c11945 . 36867055 . 0002-7863. 2206.05626 . 249625518 .
  13. Gentile . Kayla . Bhide . Ashlesha . Kauffman . Joshua . Ghosh . Subhadip . Maiti . Subhabrata . Adair . James . Lee . Tae-Hee . Sen . Ayusman . 2021-09-22 . Enzyme aggregation and fragmentation induced by catalysis relevant species . Physical Chemistry Chemical Physics . en . 23 . 36 . 20709–20717 . 10.1039/D1CP02966E . 34516596 . 2021PCCP...2320709G . 237507756 . 1463-9084.
  14. Kay . Euan R. . Leigh . David A. . Zerbetto . Francesco . January 2007 . Synthetic Molecular Motors and Mechanical Machines . Angewandte Chemie International Edition . en . 46 . 1–2 . 72–191 . 10.1002/anie.200504313. 17133632 .
  15. Book: Lodish H, Berk A, Kaiser CA, Krieger M, Bretscher A, Ploegh H, Amon A, Martin KC . Molecular Cell Biology . 8th . w.h.freeman, Macmillan Learning . 2014 . 978-1-4641-8339-3 . New York, NY .
  16. Korosec. Chapin S.. Unksov. Ivan N.. Surendiran. Pradheebha. Lyttleton. Roman. Curmi. Paul M. G.. Angstmann. Christopher N.. Eichhorn. Ralf. Linke. Heiner. Forde. Nancy R.. 2024-02-23. Motility of an autonomous protein-based artificial motor that operates via a burnt-bridge principle. Nature Communications. 15. 1511. 1511 . 10.1038/s41467-024-45570-y. 38396042 . 10891099 . 2024NatCo..15.1511K .
  17. Dey KK, Pong FY, Breffke J, Pavlick R, Hatzakis E, Pacheco C, Sen A . Dynamic Coupling at the Ångström Scale . Angewandte Chemie . 55 . 3 . 1113–7 . January 2016 . 26636667 . 10.1002/ange.201509237 . 2016AngCh.128.1125D . free .
  18. Guha R, Mohajerani F, Collins M, Ghosh S, Sen A, Velegol D . Chemotaxis of Molecular Dyes in Polymer Gradients in Solution . EN . Journal of the American Chemical Society . 139 . 44 . 15588–15591 . November 2017 . 29064685 . 10.1021/jacs.7b08783 .
  19. Collins M, Mohajerani F, Ghosh S, Guha R, Lee TH, Butler PJ, Sen A, Velegol D . 6 . Nonuniform Crowding Enhances Transport . ACS Nano . 13 . 8 . 8946–8956 . August 2019 . 31291087 . 10.1021/acsnano.9b02811 . 195879481 .