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by jagid95657＠togito.com 22 Apr '24

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IMP 2.20.2 release
by Ben Webb 05 Apr '24

05 Apr '24

IMP 2.20.2 is now available. This is a minor bugfix release, correcting build issues with Boost 1.84 and latest SWIG, and adding support for ARM64 .deb packages. See https://integrativemodeling.org/2.20.2/doc/manual/changelog.html for the full change log. Check it out at https://integrativemodeling.org/ Ben -- ben(a)salilab.org https://salilab.org/~ben/ "It is a capital mistake to theorize before one has data." - Sir Arthur Conan Doyle

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IMP 2.20.1 release
by Ben Webb 16 Jan '24

16 Jan '24

IMP 2.20.1 is now available. This is a minor bugfix release, introducing compatibility with Python 3.12 and SWIG 4.2, and fixing a crash in the soap_score tool when scoring multiple models with an orientation-dependent SOAP score. See https://integrativemodeling.org/2.20.1/doc/manual/changelog.html for the full change log. Check it out at https://integrativemodeling.org/ Ben -- ben(a)salilab.org https://salilab.org/~ben/ "It is a capital mistake to theorize before one has data." - Sir Arthur Conan Doyle

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IMP 2.20.0 release
by Ben Webb 22 Dec '23

22 Dec '23

IMP 2.20.0 is now available. This includes improved support for mmCIF files, reduced memory utilization, and preliminary support for converting RMF format directly to mmCIF. See https://integrativemodeling.org/2.20.0/doc/manual/changelog.html for the full change log. Check it out at https://integrativemodeling.org/ Ben -- ben(a)salilab.org https://salilab.org/~ben/ "It is a capital mistake to theorize before one has data." - Sir Arthur Conan Doyle

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IMP 2.19.0 release
by Ben Webb 23 Jun '23

23 Jun '23

IMP 2.19.0 is now available. This contains serialization support for many commonly-used IMP classes, and support for capturing information on most IMP restraints in output RMF files. See https://integrativemodeling.org/2.19.0/doc/manual/changelog.html for the full change log. Check it out at https://integrativemodeling.org/ Ben -- ben(a)salilab.org https://salilab.org/~ben/ "It is a capital mistake to theorize before one has data." - Sir Arthur Conan Doyle

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