The IMP 2.22.0 release is a
minor update and bugfix release,
adding the Bayesian Fluorescence Framework and improved mmCIF support.
As of this release, IMP only supports Python 3; please port any Python 2
workflows to Python 3.
Jun 13, 2024
The IMP 2.21.0 release is a
minor update and bugfix release,
adding support for spatiotemporal modeling and nested sampling-based
optimization of representation. This is also the last version of IMP to
support Python 2; please port your workflows to Python 3.
The IMP 2.20.1 release 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.
Dec 21, 2023
The IMP 2.20.0 release contains
minor updates,
including improved support for mmCIF files, reduced memory utilization, and
preliminary support for converting RMF format directly to mmCIF.
Jun 22, 2023
The IMP 2.19.0 release contains
minor updates,
including serialization support for many commonly-used IMP classes, and
support for capturing information on most IMP restraints in output RMF files.
Dec 15, 2022
The IMP 2.18.0 release contains
minor updates,
including preliminary support for serialization, improvements in constructing
topology from primary sequence, and support for the PrISM method for annotation
of ensemble precision.
Jun 23, 2022
The IMP 2.17.0 release contains
minor updates,
with a number of performance improvements and support for newer C++ standards.
Dec 16, 2021
The IMP 2.16.0 release contains
major updates,
most notably improved NumPy integration, support for Python 3.10, and a faster
scoring function for Monte Carlo sampling.
Jun 02, 2021
The IMP 2.15.0 release contains
minor updates,
most notably improved handling of MRC files, a new scoring function for
cryo-EM data, and support for Apple Silicon.
Dec 02, 2020
The IMP 2.14.0 release contains
minor updates,
most notably an overhaul of the IMP::kinematics and IMP::parallel modules,
and support for Python 3.9.
May 14, 2020
The IMP 2.13.0 release contains
major updates,
most notably support for Ubuntu 20.04, Focal Fossa, and a new IMP::sampcon
module to estimate the highest precision at which the sampling is exhaustive.
Dec 06, 2019
The IMP 2.12.0 release contains
major updates,
most notably support for Python 3.8 and RHEL/CentOS 8, and a new IMP::bayesianem
module for Bayesian handling of cryo-electron microscopy density map data.
Jul 18, 2019
The IMP 2.11.1 release contains
bug
fixes, most notably fixing some issues with the build system, failures
to read RMF files, and cloning of molecular hierarchies.
The IMP 2.8.0 release contains
bug fixes and
minor updates, including two new applications of IMP, and the Anaconda and
Windows pre-built binary packages are now MPI-enabled. This release also
includes a number of bug fixes and performance improvements. Note that this
will be the last release that includes packages for Ubuntu 12.04
(Precise Pangolin) since it has reached end of life.
Apr 13, 2017
The IMP 2.7.0 release contains
bug fixes and
major updates, including a preview of mmCIF support for deposition of
integrative models in PDB-Dev.
See the IMP::pmi::mmcif
module for more details. This release also includes a number of bug fixes
and performance improvements. Note that this will be the last release that
includes packages for RedHat Enterprise Linux 5 (and variants, such as
CentOS 5), since RHEL 5 has reached end of life.
The IMP 2.6.0 release contains
bug fixes and
minor updates. Most notably we include most of the functionality of PMI2.
This is an improved version of PMI that is faster than PMI1, more modular,
and easier to use. See
IMP::pmi
for more information. This release also includes a number of bug fixes,
most notably in the creation of sampled electron microscopy density maps.
Jun 30, 2015
The IMP 2.5.0 release contains
bug fixes and
minor updates. Most notably the documentation has been revised and updated;
we now provide binary packages for Ubuntu 12.04 (Precise Pangolin) in addition
to 14.04 (Trusty Tahr); a lot of obsolete and deprecated functionality has
been removed; support for OpenMP and MPI is improved; and the IMP::base and
IMP::kernel namespaces are now deprecated in favor of the top-level "IMP"
namespace.
The IMP 2.3.0 release contains
bug fixes and
updates. Most notably the experimental
IMP::pmi module is
now available. This provides a variety of high-level Python classes to
simplify the construction of a modeling protocol in IMP. One recent use
of PMI is the modeling of the Nup84
subcomplex of the nuclear pore complex. We also now provide binary packages
for Ubuntu LTS and 64-bit Windows.
The IMP 2.0.1 release contains several new
applications to tackle certain modeling problems, including
EMageFit to build
assembly models using electron microscopy images (class averages)
multifit
and
cnmultifit
to build assembly models using electron microscopy density maps
Integrative
docking to improve pairwise docking using a variety of additional
experimental information sources
saxs_merge,
a fully automated statistical method for merging small-angle X-ray (SAXS)
profiles using Gaussian processes
Dec 2011
IMP has been employed to translate tethered conformation capture (TCC) data
into physical chromatin contacts in a population of three-dimensional
genome structures. Statistical analysis of the resulting population
demonstrates that the indiscriminate properties of interchromosomal
interactions are consistent with the well-known architectural features of
the human genome.
more...
Jan 2011
IMP has been used by researchers at the Centro de Investigación PrÃncipe
Felipe in Spain, in combination with chromosome conformation capture carbon
copy (5C) technology, to generate high-resolution three-dimensional models
of chromatin at the megabase scale.
[publication 1][publication 2]
2007
Researchers from UCSF and the Rockefeller University have used IMP for modeling the Nuclear Pore Complex.
more...
