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- Introduction to Protein Folding and Misfolding
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1. Protein folding and misfolding: from theory to therapy
- Prof. Christopher Dobson
- Stability and Kinetics of Protein Folding
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2. Mechanisms of protein folding reactions
- Prof. Thomas Kiefhaber
- Protein Folding Theory
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3. Mapping disordered proteins with single-molecule FRET
- Dr. Hagen Hofmann
- Protein Folding Simulations
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4. Protein folding
- Prof. Eugene Shakhnovich
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5. Simulating protein folding with full atomistic detail
- Prof. Vijay Pande
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6. Molecular dynamics simulations of protein dynamics, unfolding and misfolding
- Prof. Valerie Daggett
- Protein Folding Inside the Cell: Chaperones
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7. Protein folding Inside the cell: macromolecular crowding and protein aggregation
- Prof. Emeritus R. John Ellis
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8. Chaperone mechanisms in cellular protein folding
- Prof. Dr. F. Ulrich Hartl
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9. Quality control of proteins mislocalized to the cytosol
- Dr. Ramanujan Hegde
- Protein Misfolding and Disease
- Protein Design
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11. Designing proteins with life sustaining activities 1
- Prof. Michael Hecht
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12. Designing proteins with life sustaining activities 2
- Prof. Michael Hecht
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13. Folding and design of helical repeat proteins
- Prof. Lynne Regan
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14. Design and engineering of zinc-finger domains
- Prof. Jacqui Matthews
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15. Prediction and design of protein structures and interactions
- Prof. David Baker
- Amyloid Fibrils: Structure, Formation and Nanotechnology
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16. Amyloid fibrils as functional nanomaterials
- Prof. Juliet Gerrard
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17. Functional amyloid fibrils from fungi and viruses
- Prof. Margaret Sunde
- Intrinsically disordered Proteins
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18. Fuzzy protein theory for disordered proteins
- Prof. Monika Fuxreiter
- Intersection of RNA, translation and protein aggregation.
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19. Expanding roles of RNA-binding proteins in neurodegenerative diseases
- Prof. Aaron D. Gitler
- Proteostasis
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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
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21. Amyloidosis: disease caused by amyloid
- Prof. Mark Pepys
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22. Protein folding and dynamics from single molecule spectroscopy
- Prof. Dr. Benjamin Schuler
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23. Prion diseases
- Prof. Fred Cohen
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25. Titin I27: a protein with a complex folding landscape
- Dr. Jane Clarke
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26. Novel proteins from designed combinatorial libraries
- Prof. Michael Hecht
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28. The sequence determinants of amyloid fibril formation
- Prof. Fabrizio Chiti
Printable Handouts
Navigable Slide Index
- Introduction
- Protein folding and disease
- Folding kinetics can have a biological impact
- Why physical simulation?
- Primary challenges: timescale vs. accuracy
- Range of possible models
- Atomistic models
- Building an atomistic model
- Short range interactions
- Charge-charge interactions
- How do we get parameters?
- Existing forcefields
- What about water?
- Hydrophobic effect
- Dielectric properties
- Implicit solvation model: PB/SA - PB
- Implicit solvation model: PB/SA - SA
- Solvation models
- How good are these models?
- Aren't molecular models flawed?
- Comparison with experiment
- Water model can have a big impact
- Are forcefields good enough?
- The problem of sampling
- Experimentally relevant timescales
- Folding@home: worldwide grid computing
- Traditional approach: parallelism
- Simulating two-state dynamics
- New method: build Markovian state model
- MSM - plan (1)
- MSM - plan (2)
- Kinetics: predicted vs. experiment
- Challenge of analysing the data
- The role of chemical detail in folding mechanism
- Problem: complex dynamics
- P-fold: ordering states along the folding reaction
- Is water configuration relevant?
- Do we need an explicit representation for water?
- Results
- Challenge of protein folding
- Protein folding theory
- Zinc finger fold: BBA6
- General folding properties - independent of water
- Three helix bundle: villin headpiece
- MSM for villin: kinetics
- How do proteins fold?
- Acknowledgements
Topics Covered
- Protein folding and disease
- Folding kinetics can have a biological impact
- Why use physical simulation?
- Primary challenges
- Possible models
- Building atomistic models
- Modern force fields
- Ways to treat water
- Implicit solvent models
- Critical evaluation of force fields
- The sampling challenge
- Grid computing methods for dynamics
- What is the role of chemical detail?
- Protein folding theories
Talk Citation
Pande, V. (2020, August 12). Simulating protein folding with full atomistic detail [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 22, 2024, from https://doi.org/10.69645/ILNV5026.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Vijay Pande has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Biochemistry
Transcript
Please wait while the transcript is being prepared...
0:00
My name is Vijay Pande and
the lecture I'm going to present is on
studying "Protein Folding via Simulation".
0:06
Just as protein folding itself, ie the act
of protein chain to assemble itself
into its final fold is of extreme
fundamental importance to biology,
since before any protein
can function must fold,
it's obvious that when
proteins fold incorrectly or
misfold that there could be natural,
drastic important biomedical implications.
And therefore it's perhaps not surprising
that there are many diseases associated
with protein misfolding such as CJD or
Creutzfeldt-Jakob disease also
known as mad cow disease in cows,
Alzheimer's disease, Parkinson's disease,
and much many others.
And part of the rationale for studying
protein folding itself is also to be able
to better understand
protein folding diseases.
And this is a very challenging
problem because protein folding while
there are many aspects that can
be understood experimentally,
there's still a whole wealth of details
that are just too difficult to examine
experimentally due to either the various
small sizes or fast timescales involved.
0:58
It's also intriguing that not just
must proteins fold correctly, but
they often must fold in
a reasonable timescale.
A very nice example comes
from the p53 protein.
p53 is a protein and
very much important to cancer.
Roughly half of all known cancers
have a mutation involved in p53.
And there is recent evidence from various
experimental groups that suggests that p53
folds cotranslationally on the ribosome
actually forms dimers on the ribosome.
And it's natural to think that this
dimerization process would be kinetically
limited by translation and if this
dimerization doesn't occur on a relatively
fast rate that there
themselves could be problems.
So therefore it's perhaps intriguing to
think that protein folding must occur and
it must occur in some reasonably
chemically speedy process.
And this also becomes an interesting and
challenging problem to try to understand.