Kresten Lindorff-Larsen
@lindorfflarsen.bsky.social
5.4K followers 1.1K following 1.1K posts
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
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lindorfflarsen.bsky.social
Integrative modelling of biomolecular dynamics

Time-dependent and -resolved experiments combined with computation provide a view on molecular dynamics beyond that available from static, ensemble-averaged experiments

Review w @dariagusew.bsky.social & Carl G Henning Hansen
doi.org/10.48550/arX...
Figure 1 from the review. Caption: Comparison of a schematic example showing static, time-dependent, and time-resolved experiments illustrated by a protein folding process. (a) A static experiment measuring the observable O$_{\text{exp}}$ is shown, which can be modelled as a distribution of simulated values, O$_{\text{calc}}$, representing a conformational ensemble of folded and unfolded states. (b) Shows a time-dependent experiment, where the equilibrium dynamics of reversible folding gives rise to measured transition times $\tau_1$ and $\tau_2$. These can be modelled as equilibrium dynamics, illustrated by a free energy (FE) surface along a chosen degree of freedom (D.O.F.) (c) A time-resolved experiment probes a non-equilibrium process, where the system begins at $t_{0}$ in the folded state. During the observation time $t$ the protein unfolds until $t_{\text{max}}$. At each time point, a distinct ensemble average, O$_{\text{exp}}$, can be observed, reflecting the proteins changing structure. This evolution can be modelled as distributions of O$_{\text{calc}}$ at each time point. These are shown together with a FE surface.
lindorfflarsen.bsky.social
In any case, I am happy that we were lucky enough to receive funding and am excited to be working on the project. To everyone else who have also been rejected multiple times, I wish you the best of luck—if you are lucky enough to be in a position where you can try again. 13/n; n=13
lindorfflarsen.bsky.social
My impression as an ERC applicant, reviewer and panel member is that interdisciplinary science sometimes may have a hard time in the ERC system. But I also have seen that very field-specific proposals have fallen outside the expertise of the panels and reviewers. 12/n
lindorfflarsen.bsky.social
While there are individual reviews I disagree with, I must say that through all of this I feel that the reviews have been fair and focused on the science of the proposals. The 2 CoG proposals received 7&10 set of reviews and the SyG proposal had 13 reviews. 11/n
lindorfflarsen.bsky.social
Importantly, I’ve been lucky to have other sources of funding and so getting ERC funding was never a make-or-break situation for the group. I know this is not the case for everyone else. 10/n
lindorfflarsen.bsky.social
In my case, it thus took four attempts to be funded by the ERC, and this involved three completely different projects and being pulled out of the reserve list. There’s no moral to this story, and I know others have been in the same or worse situations. 9/n
lindorfflarsen.bsky.social
With DynaPLIX out of mind, I received an email in Dec 2022 saying that our “proposal has reached the stage of Grant Agreement preparation”. After a bit of confusion, we realized this might mean that our 2021 proposal had made it off the reserve list. 8/n
lindorfflarsen.bsky.social
Based on the positive feedback from the 13 reviewers (!), we thus resubmitted DynaPLIX at the deadline in Nov 2022 which came only a few weeks after we got the reviews from the 2021 submission. 7/n
lindorfflarsen.bsky.social
In 2021, we applied for ERC Synergy Grant with DynaPLIX and went through all three stages of the evaluation. We were ranked at 38%, below the 33% cutoff, but were put on the reserve list. 6/n
lindorfflarsen.bsky.social
In 2017 I again applied for ERC CoG with a similar project (submitted to LS7 but moved by the ERC to LS1). Again, I went to step 2, but was ranked in the bottom 25% by LS1. 5/n
lindorfflarsen.bsky.social
In 2016 I applied for an ERC Consolidator grant (PE4) for developing biophysical methods to understand and predict variant effects. The project went to the interview stage but wasn’t funded (ranking 41%; just below the 36% funding cutoff). 4/n
lindorfflarsen.bsky.social
I first applied to the ERC for a Starting Grant in 2012 (LS1). The project, QBOND, aimed to improve our understanding and ability to model hydrogen bonds. The project (which I think was very exciting) got little love from the panel reviewers and didn’t make it past step 1. 3/n
lindorfflarsen.bsky.social
A few years ago I received an ERC Synergy Grant. I realize that I am very fortunate and lucky to have received that grant, so wanted again to give a bit of background for the 10-year process it was for me to get funding from the ERC. This funding came in my fourth attempt. 2/n
lindorfflarsen.bsky.social
Am at the University of Copenhagen Frontier Research in Denmark meeting celebrating the @erc.europa.eu. Rector David Lassen highlights how his first meeting with the ERC was a grant rejection, and how it's important to tell early career scientists about the CV of failure in addition to successes 1/n
Reposted by Kresten Lindorff-Larsen
randyjread.bsky.social
This is reminiscent of the subset of bacterial toxins that hijack retrograde translocation and the ERAD machinery to get into the cytosol. Their active, translocated subunits are also lysine deserts!
lindorfflarsen.bsky.social
The proteasome-substrate-shuttle protein UBQLN2 contains—like other quality control system proteins—a long region devoid of lysine (a lysine desert)

Martin Grønbæk-Thygesen (from @rhp-lab.bsky.social) et al show that introducing K here causes ubiquitylation and degradation

doi.org/10.1101/2025...
Fig. 1 – UBQLN2 is a conserved lysine-depleted protein. (A) Sequence comparison of
UBQLN2 orthologs in the indicated species. Intrinsically disordered regions in human
UBQLN2 based on MobiDB are shown as a blue bar. The domain organization based on the
SMART database is marked. Lysine residues are marked as black squares. (B) ESM-2
predictions of all possible single amino acid substitutions of human UBQLN2 presented as a
heat map. The wild-type residues are marked in blue. ESM-2 scores close to zero (light
yellow colors) indicate that the amino acid substitution is compatible with the ESM-2
language model, whereas negative scores (dark orange colors) indicate that the variant is
incompatible with the ESM-2 model. The domain organization (based on SMART) is aligned
above the map. Note that substitutions to lysine or cysteine in general appear detrimental, in
particular downstream of the UBL domain. (C) The AlphaFold2 predicted structured of
human UBQLN2 (AF-Q9UHD9-F1) (left panel). The UBL domain is colored blue, and the
UBA domain is colored orange and the STI1 regions green. Zoom in on the UBL domain
(right panel) with the lysine residues highlighted as stick representations and colored based
on the relative accessible surface area (rASA, dark red exposed; grey, buried).
lindorfflarsen.bsky.social
Not to be confused with a lysine dessert (salty, bitter)
bsky.app/profile/lind...
lindorfflarsen.bsky.social
For our previous work on lysine deserts see

Kampmeyer et al, 2023:
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
doi.org/10.1007/s000...
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components - Cellular and Molecular Life Sciences
In terms of its relative frequency, lysine is a common amino acid in the human proteome. However, by bioinformatics we find hundreds of proteins that contain long and evolutionarily conserved stretches completely devoid of lysine residues. These so-called lysine deserts show a high prevalence in intrinsically disordered proteins with known or predicted functions within the ubiquitin-proteasome system (UPS), including many E3 ubiquitin-protein ligases and UBL domain proteasome substrate shuttles, such as BAG6, RAD23A, UBQLN1 and UBQLN2. We show that introduction of lysine residues into the deserts leads to a striking increase in ubiquitylation of some of these proteins. In case of BAG6, we show that ubiquitylation is catalyzed by the E3 RNF126, while RAD23A is ubiquitylated by E6AP. Despite the elevated ubiquitylation, mutant RAD23A appears stable, but displays a partial loss of function phenotype in fission yeast. In case of UBQLN1 and BAG6, introducing lysine leads to a reduced abundance due to proteasomal degradation of the proteins. For UBQLN1 we show that arginine residues within the lysine depleted region are critical for its ability to form cytosolic speckles/inclusions. We propose that selective pressure to avoid lysine residues may be a common evolutionary mechanism to prevent unwarranted ubiquitylation and/or perhaps other lysine post-translational modifications. This may be particularly relevant for UPS components as they closely and frequently encounter the ubiquitylation machinery and are thus more susceptible to nonspecific ubiquitylation.
doi.org
lindorfflarsen.bsky.social
The proteasome-substrate-shuttle protein UBQLN2 contains—like other quality control system proteins—a long region devoid of lysine (a lysine desert)

Martin Grønbæk-Thygesen (from @rhp-lab.bsky.social) et al show that introducing K here causes ubiquitylation and degradation

doi.org/10.1101/2025...
Fig. 1 – UBQLN2 is a conserved lysine-depleted protein. (A) Sequence comparison of
UBQLN2 orthologs in the indicated species. Intrinsically disordered regions in human
UBQLN2 based on MobiDB are shown as a blue bar. The domain organization based on the
SMART database is marked. Lysine residues are marked as black squares. (B) ESM-2
predictions of all possible single amino acid substitutions of human UBQLN2 presented as a
heat map. The wild-type residues are marked in blue. ESM-2 scores close to zero (light
yellow colors) indicate that the amino acid substitution is compatible with the ESM-2
language model, whereas negative scores (dark orange colors) indicate that the variant is
incompatible with the ESM-2 model. The domain organization (based on SMART) is aligned
above the map. Note that substitutions to lysine or cysteine in general appear detrimental, in
particular downstream of the UBL domain. (C) The AlphaFold2 predicted structured of
human UBQLN2 (AF-Q9UHD9-F1) (left panel). The UBL domain is colored blue, and the
UBA domain is colored orange and the STI1 regions green. Zoom in on the UBL domain
(right panel) with the lysine residues highlighted as stick representations and colored based
on the relative accessible surface area (rASA, dark red exposed; grey, buried).
lindorfflarsen.bsky.social
A good day to remember John Gurdon’s school report from his biology master at Eton
Reposted by Kresten Lindorff-Larsen
carlsbergfondet.dk
🌟Om præcis et år i dag fylder Carlsbergfondet 150 år. Det fejrer vi med ekstraordinært at udbyde 150 mio kr til interdisciplinære forskningscentre, der skal fremme tværfagligheden i det danske grundforskningslandskab
👉 Læs om hvordan du kan søge bit.ly/42FWVv8 #dkforsk
Reposted by Kresten Lindorff-Larsen
ezgikaraca.bsky.social
And the legacy continues! 😊

@amjjbonvin.bsky.social @bioinfo.se @lindorfflarsen.bsky.social #EMBOIntegMod25 ! 🍀🧿
Reposted by Kresten Lindorff-Larsen
daviddesancho.bsky.social
Check out our latest, where we investigate the molecular origin of differences between Lys and Arg and their roles in biomolecular #condensates

@dipcehu.bsky.social

www.biorxiv.org/content/10.1...
lindorfflarsen.bsky.social
Congrats. Some of the other letter writers must have been positive (and able to write coherently)...
Reposted by Kresten Lindorff-Larsen
lindorfflarsen.bsky.social
Integrative modelling of biomolecular dynamics

Time-dependent and -resolved experiments combined with computation provide a view on molecular dynamics beyond that available from static, ensemble-averaged experiments

Review w @dariagusew.bsky.social & Carl G Henning Hansen
doi.org/10.48550/arX...
Figure 1 from the review. Caption: Comparison of a schematic example showing static, time-dependent, and time-resolved experiments illustrated by a protein folding process. (a) A static experiment measuring the observable O$_{\text{exp}}$ is shown, which can be modelled as a distribution of simulated values, O$_{\text{calc}}$, representing a conformational ensemble of folded and unfolded states. (b) Shows a time-dependent experiment, where the equilibrium dynamics of reversible folding gives rise to measured transition times $\tau_1$ and $\tau_2$. These can be modelled as equilibrium dynamics, illustrated by a free energy (FE) surface along a chosen degree of freedom (D.O.F.) (c) A time-resolved experiment probes a non-equilibrium process, where the system begins at $t_{0}$ in the folded state. During the observation time $t$ the protein unfolds until $t_{\text{max}}$. At each time point, a distinct ensemble average, O$_{\text{exp}}$, can be observed, reflecting the proteins changing structure. This evolution can be modelled as distributions of O$_{\text{calc}}$ at each time point. These are shown together with a FE surface.
lindorfflarsen.bsky.social
Visiting Ephesus at #embointegmod25 to look for the missing AlphaFold 3 code