[ccp4bb] Selenomethionine Risk Assessment

2017-09-22 Thread Nicola Evans
Hello all, I am intending to do selenomethionine labelling in E.coli, however my department have asked me for a risk assessment for the experiment due to the toxicity of the selenomethionine. It would be a great help to me if anyone out there already has one that they could email to me to look

[ccp4bb] CC(1/2) reference

2017-08-29 Thread Nicola Evans
Hello all, I have heard at several CCP4 meetings and also at Diamond training that a good "cut off" for CC(1/2) is around 0.3 and I/sig(I) is 0.2, but I am struggling to find any journal references to say this (other than demonstrating the merits of CC(1/2) over Rmeas). Can anyone point me in

[ccp4bb] 3D Structure Search

2018-02-15 Thread Nicola Evans
I have recently solved a novel structure which previously did not have any structural homologues (as related by sequence identity). I was wondering if anyone could recommend a 3D structural search engine? I used the Dali server which has been recommended to me in the past (and with past

[ccp4bb] Adding Zinc to Protein

2018-12-09 Thread Nicola Evans
From a fluorescence scan it would appear a protein I am working on has zinc in it. The occupancy is likely to be very low however (a structural homologue has several zincs in the x-ray crystal data but at 0.5 occupancy), as there isn't anything obvious in the electron density map (perhaps some

[ccp4bb] LabGenius Jobs available - Biophysics and Data Engineer

2019-02-20 Thread Nicola Evans
These are not structural biology roles, but I thought there would be some overlap with the skills of people on this forum. We are looking for innovative people to join our startup company, LabGenius. We engineer proteins with both enhanced and entirely novel functionality with the use of

[ccp4bb] LabGenius Protein Scientist Job Opening

2019-08-28 Thread Nicola Evans
My company is currently hiring and I thought there would be some good overlap of skills with the talented people on this mailing list. At LabGenius, we’re building a platform to discover revolutionary biological medicines coupling wet-lab techniques with machine learning and automation. We have