Hi Jim, all data is good data - the more data you have the better (that's what they say anyhow)
Not everybody is adopting to the Karplus Diederich paper as quickly as you do. And not to be confused with the Diederichs and Karplus paper :-) http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689524/ http://www.ncbi.nlm.nih.gov/pubmed/22628654 My models get better by including the data I had been omitting before, that's all that counts for me. Jürgen P.S. reminds me somehow of those guys collecting more and more data - PRISM greetings On Aug 27, 2013, at 8:29 PM, Jim Pflugrath wrote: I have to ask flamingly: So what about CC1/2 and CC*? Did we not replace an arbitrary resolution cut-off based on a value of Rmerge with an arbitrary resolution cut-off based on a value of Rmeas already? And now we are going to replace that with an arbitrary resolution cut-off based on a value of CC* or is it CC1/2? I am asked often: What value of CC1/2 should I cut my resolution at? What should I tell my students? I've got a course coming up and I am sure they will ask me again. Jim ________________________________ From: CCP4 bulletin board [[email protected]<mailto:[email protected]>] on behalf of Arka Chakraborty [[email protected]<mailto:[email protected]>] Sent: Tuesday, August 27, 2013 7:45 AM To: [email protected]<mailto:[email protected]> Subject: Re: [ccp4bb] Resolution, R factors and data quality Hi all, does this not again bring up the still prevailing adherence to R factors and not a shift to correlation coefficients ( CC1/2 and CC*) ? (as Dr. Phil Evans has indicated).? The way we look at data quality ( by "we" I mean the end users ) needs to be altered, I guess. best, Arka Chakraborty On Tue, Aug 27, 2013 at 9:50 AM, Phil Evans <[email protected]<mailto:[email protected]>> wrote: The question you should ask yourself is "why would omitting data improve my model?" Phil ...................... Jürgen Bosch Johns Hopkins University Bloomberg School of Public Health Department of Biochemistry & Molecular Biology Johns Hopkins Malaria Research Institute 615 North Wolfe Street, W8708 Baltimore, MD 21205 Office: +1-410-614-4742 Lab: +1-410-614-4894 Fax: +1-410-955-2926 http://lupo.jhsph.edu
