Alexander van Teijlingen retweeted
Replying to @AlexandervanTe1
@AlexandervanTe1 account on how changes in Martini have affected the modelling of short peptide self assembly in water is out now in Acc. Chem. Res. excellent input from an undergrad project students who is also an author… @scotch_research @StrathChem pubs.acs.org/doi/10.1021/acs…
Alexander van Teijlingen retweeted
Our collaborative review (@UlijnGroup @maithreyirtea @AlexandervanTe1) on the collaborative design of peptide-based materials and complex systems is out now... onlinelibrary.wiley.com/doi/… @StrathChem @asrc_gc @ASRCnanoscience
Check out this account on OpenSea opensea.io/assets/0x495f9472… via @opensea
.@ChrisStephens as my MP, please oppose the #PolicingBill
It will give police more powers to shut down protest, stop and search without suspicion, and criminalise Gypsy and Traveller communities.
#PoliceCrackdownBill
xitter.cf/ByeGarry/status/141062…
Alexander van Teijlingen retweeted
Hot off the press... being able to search for peptides longer than 3 amino acids has always been a goal - our new ML approach now makes that possible! pubs.acs.org/doi/abs/10.1021… @AlexandervanTe1 #MachineLearning #CoarseGraining #MLCG
Alexander van Teijlingen retweeted
Commander steps into remind officer that it’s not advisable to manhandle journalists after this incident #bristol
Alexander van Teijlingen retweeted
Scuffles break out at Clapham Common memorial for Sarah Everard as people chant “arrest your own.”
Alexander van Teijlingen retweeted
kind of a bummer to have been born at the very end of the Fuck Around century just to live the rest of my life in the Find Out century
Resubmission for #AIChem20posters with the correct hashtag this time.
Ahh sorry i misunderstood. During the CGMD simulation there are 300 peptides in the simulation box. The datasets are 8000 (20^3) for tripeptides, up to 64,000,000 (20^6) for hexapeptides.
Replying to @AlexandervanTe1
Thanks. With a dataset of 300, you are able to capture the feature-target relationship to a good extend. Great!
3. This is the interesting part, that it does aggregate despite being soluble (at least as far as log P < 0 = soluble) means the molecules are interacting in an attractive fashion in the way we would expect for a self-assembling nanomaterial.
2. sum(SP2) is the total number of SP2 carbon atoms, max ASA and Bulkiness are described in the references listed, twitter character limit ties my hands a bit here. Briefly, maxASA is the highest ASA for an amino acid in the tripeptide Gly-X-Gly in all biophysical conformations.
1. 300
Replying to @AlexandervanTe1 @scotch_research
Interesting work. I want some clarifications to understand the work better.
1. How many peptides, in total, have you considered for 50ns CGMD run?
My poster submission for #ScotCHEM2020, Beyond tripeptides - how machine learning can help to reduce computational search spaces, particularly in the field of peptide self-assembly.
PDF version with clickable links: strathcloud.sharefile.eu/d-s…
@scotch_research
Alexander van Teijlingen retweeted
Hi all, here is myself and @RoxyPiotrowska's submission for @syschem20 based on our work on WR tripeptide crystals! @asrc_gc @StrathChem @UlijnGroup @TuttleLab
doi.org/10.5281/zenodo.38307…
youtube.com/watch?v=lTUFC4MR…
#syschemposter #realtimechem
Beyond tripeptides - machine learning and self-assembly #syschemposter personal.strath.ac.uk/alexan…
Size-dependent melting point depression of nickel nanoparticles - now published in Nanoscale Advances pubs.rsc.org/en/content/arti…












