Alexander Minges

44 Followers
161 Following
19 Posts

Former structural biologist turned data steward. Cyclist and cat owner. Toots will most likely cover all three topics.

Ehemaliger Strukturbiologe, jetzt Data Steward. Fahrradfahrer und Katzenbesitzer. Hier zu allen drei Themen unterwegs.

ORCIDhttps://orcid.org/0000-0001-7760-2753
Bluesky@athemis.bsky.athemis.de
Entspanntes "Rudelgucken" des #TdF2025 von @fdm_nrw an der #UDE in Essen.
Great discussion at the start of #ForschungsDating2025

Da kann ich uneingeschränkt zustimmen  

https://blog.fefe.de/?ts=9bf416db

Fefes Blog

Wow, I'm still a bit amazed that everything worked out just as planned. Arrived at the hotel around midnight. Looking forward to a great #CCP4SW
@xtaldave
@RandyJRead @graemewinter
Worked for me, too. 🙂
@xtaldave @graemewinter
Same for me. Using the same address as for the registration, getting the same message. You'll get the hint about the domains when you try to manually join the ccp4sw slack using the mobile app. I've contacted Karen about this issue. Perhaps it's just the wrong invitation link?
@xtaldave @graemewinter
Pro-active joining seems to be limited to e-mail addresses with stfc.ac.uk or diamond.ac.uk domains. At least, that's what the app tells me when trying to use my work e-mail address.
Due to the strikes in the UK, traveling to the #ccp4sw is a bit more challenging this year, than it used to be. Currently on the train to Cologne. From there to Brussels, London (via Eurostar) and finally by bus to Nottingham. ETA: 11.30 pm.

A good illustration of how "Asymmetric Unit" is relevant just to a crystal and not a molecule.

#StructuralBiology #CryoEM

from: https://pdb101.rcsb.org/learn/guide-to-understanding-pdb-data/biological-assemblies

PDB101: Learn: Guide to Understanding PDB Data: Biological Assemblies

PDB-101: Educational portal of RCSB PDB

RCSB: PDB-101
@robertmx @mastobikes_de @fedibikes_de
Finde es eher interessant, dass anhand von drei recht eng aneinander liegender Messpunkte eine lineare Extrapolation vorgenommen wird. Am deutlichsten bei Bremskraft (nass): Drei Messpunkte im Bereich ca. 15 bis 18 N. Dann lineare Regression durch die Messpunkte extrapoliert bis über 40 N. Mag ja sein, dass sich das in der Theorie linear verhalten sollte, aber bei drei Messpunkten reicht ja schon ein Ausreißer und die Regression ist für die Tonne ;)