Hi, It’s hard to comment on this without knowing the resolution. A general rule of thumb is: an outlier is a statistical outlier, meaning it is not necessarily *wrong* but unlikely. If you can justify it based on the experimental data, just leave it alone.
This, in turn, means that at low resolution, it’s hard to justify outliers based on the data, so your goal should be to have none. At high resolution, however, you do expect valid outliers. Pavel On Wed, Jan 29, 2025 at 7:43 AM 白雪慧 <zb20193020...@cau.edu.cn> wrote: > Happy New Year, everyone. > > Recently, I have encountered some problems when submitting PDB, and I > have seen some discussions about these problems before. > > Meanwhile, I still want to ask how to reduce the RSRZ outliers in the > wwPDB validation report, is there any good way to reduce the RSRZ outliers > > in the WWPDB Validation report? I enclose my alidation report. > > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
