RFMQA specifications


Unique identifier OMICS_18587
Alternative name Random Forest-Based Protein Model Quality Assessment
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Source code URL http://lee.kias.re.kr/RFMQA/RFMQA_eval.tar.gz
Maintained Yes


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  • person_outline Jooyoung Lee <>

Publication for Random Forest-Based Protein Model Quality Assessment

RFMQA institution(s)
Center for In Silico Protein Science, School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea
RFMQA funding source(s)
Supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2008-0061987).

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