Registration for a live webinar on 'Innovative Vaccines and Viral Pathogenesis: Insights from Recent Monkeypox (Mpox) Research' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
- Introduction to Protein Folding and Misfolding
-
1. Protein folding and misfolding: from theory to therapy
- Prof. Christopher Dobson
- Stability and Kinetics of Protein Folding
-
2. Mechanisms of protein folding reactions
- Prof. Thomas Kiefhaber
- Protein Folding Theory
-
3. Mapping disordered proteins with single-molecule FRET
- Dr. Hagen Hofmann
- Protein Folding Simulations
-
4. Protein folding
- Prof. Eugene Shakhnovich
-
5. Simulating protein folding with full atomistic detail
- Prof. Vijay Pande
-
6. Molecular dynamics simulations of protein dynamics, unfolding and misfolding
- Prof. Valerie Daggett
- Protein Folding Inside the Cell: Chaperones
-
7. Protein folding Inside the cell: macromolecular crowding and protein aggregation
- Prof. Emeritus R. John Ellis
-
8. Chaperone mechanisms in cellular protein folding
- Prof. Dr. F. Ulrich Hartl
-
9. Quality control of proteins mislocalized to the cytosol
- Dr. Ramanujan Hegde
- Protein Misfolding and Disease
- Protein Design
-
11. Designing proteins with life sustaining activities 1
- Prof. Michael Hecht
-
12. Designing proteins with life sustaining activities 2
- Prof. Michael Hecht
-
13. Folding and design of helical repeat proteins
- Prof. Lynne Regan
-
14. Design and engineering of zinc-finger domains
- Prof. Jacqui Matthews
-
15. Prediction and design of protein structures and interactions
- Prof. David Baker
- Amyloid Fibrils: Structure, Formation and Nanotechnology
-
16. Amyloid fibrils as functional nanomaterials
- Prof. Juliet Gerrard
-
17. Functional amyloid fibrils from fungi and viruses
- Prof. Margaret Sunde
- Intrinsically disordered Proteins
-
18. Fuzzy protein theory for disordered proteins
- Prof. Monika Fuxreiter
- Intersection of RNA, translation and protein aggregation.
-
19. Expanding roles of RNA-binding proteins in neurodegenerative diseases
- Prof. Aaron D. Gitler
- Proteostasis
-
20. Adapting proteostasis to ameliorate aggregation-associated amyloid diseases
- Dr. Jeffery W. Kelly
- Archived Lectures *These may not cover the latest advances in the field
-
21. Amyloidosis: disease caused by amyloid
- Prof. Mark Pepys
-
22. Protein folding and dynamics from single molecule spectroscopy
- Prof. Dr. Benjamin Schuler
-
23. Prion diseases
- Prof. Fred Cohen
-
25. Titin I27: a protein with a complex folding landscape
- Dr. Jane Clarke
-
26. Novel proteins from designed combinatorial libraries
- Prof. Michael Hecht
-
28. The sequence determinants of amyloid fibril formation
- Prof. Fabrizio Chiti
Printable Handouts
Navigable Slide Index
- Introduction
- Protein folding
- Descriptions of protein folding
- Two-state protein folding (1)
- Two-state protein folding (2)
- Intrinsically disordered proteins (IDP) (1)
- Intrinsically disordered proteins (IDP) (2)
- Unfolded or disordered protein chains (1)
- Unfolded or disordered protein chains (2)
- Observation of single molecules
- Foerster resonance energy transfer (1)
- Foerster resonance energy transfer (2)
- Foerster resonance energy transfer (3)
- Foerster resonance energy transfer (4)
- Collapse of the unfolded state
- How can this expansion be explained? (1)
- How can this expansion be explained? (2)
- How can this expansion be explained? (3)
- Excluded volume (1)
- Excluded volume (2)
- Including other interactions
- Total free energy of the chain
- The measured distance (1)
- The measured distance (2)
- Defining collapsed and expanded (1)
- Defining collapsed and expanded (2)
- Scaling exponents with smFRET (1)
- Scaling exponents with smFRET (2)
- Determining scaling exponents (1)
- Determining scaling exponents (2)
- Protein folding (2)
- Comparing smFRET and SAXS
- How fast do polypeptide chains fluctuate?
- Two photon correlations (1)
- Two photon correlations (2)
- Two photon correlations (3)
- Two photon correlations (4)
- Two photon correlations (5)
- Correlation times and reconfiguration times (1)
- Correlation times and reconfiguration times (2)
- Correlation times and reconfiguration times (3)
- Reconfiguraton times and collapse (1)
- Reconfiguration times and collapse (2)
- Rouse model of polymer dynamics
- Rouse model with internal friction (1)
- Rouse model with internal friction (2)
- Rouse model with internal friction (3)
- Rouse model with internal friction (4)
- Summary
- Questions
- Acknowledgements
Topics Covered
- Protein folding and folding landscapes
- Single-molecule FRET
- Protein collapse
- Polymer models to describe protein collapse
- The dynamics of unfolded and intrinsically disordered proteins
- Rouse models
- Internal friction
Talk Citation
Hofmann, H. (2019, July 31). Mapping disordered proteins with single-molecule FRET [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 22, 2024, from https://doi.org/10.69645/FSNK6207.Export Citation (RIS)
Publication History
Financial Disclosures
- There are no commercial/financial matters to disclose
A selection of talks on Cell Biology
Transcript
Please wait while the transcript is being prepared...
0:00
My name is Hagen Hofmann and I have a research group here
at the Weizmann Institute.
In the following presentation,
I will give a brief overview of how we can use
single molecule fluorescence spectroscopy to study
the properties of unfolded and intrinsically disordered proteins.
0:17
The study of unfolded proteins is the result of decades
lasting investigation of one of the most fascinating processes
in biomolecular sciences,
the process of protein folding.
Protein folding is the process in which a newly synthesized
polypeptide chain forms a well-defined three-dimensional structure.
Most cellular processes, but not all as you will see later in this talk,
depends on the defined three-dimensional architecture of proteins.
Folding itself is an enormously complex process
that involves thousands of atoms.
Even though some, mostly large proteins,
require the help of chaperones to render folding effective,
it has been shown in numerous experiments that indeed folding is autonomous.
The importance of this process inspired researchers of a decades to identify
the rules by which the three-dimensional structure of
proteins is encoded in the amino acid sequence.
In contrast to the genetic code though,
the models in protein folding mainly come from chemistry and physics,
and I will briefly review the two major strategies to describe protein folding.
1:20
The first strategy comes from chemistry,
more precisely, from chemical kinetics.
Here, the process of protein folding is seen as
a series of coupled equilibria which means steps,
in which the unfolded state U transforms while
structurally defined intermediates I1 and I2 to the folded state,
here denoted with F. In result,
they exist in a well-defined paths to the folded state.
The advantage of this U's that
experimental folding candidates can be quantitatively described.
An alternative and rather complimentary view
of protein folding comes from statistical thermodynamics.
Here, folding starts from a huge ensemble of
unfolded conformers with high conformational entropy and high energy.
During the folding process,
the conformers lower their energy and entropy,
which is often depicted as a float down
a funnel whose axis are given by energy and entropy.
In contrast to the defined passing chemical kinetics models,
folding can take a multitude of
parallel routes to the folded state at the bottom of the funnel.
However, the two U's are not contradictory as you will show in a minute.