Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-5-10
pubmed:abstractText
Cryo-electron microscopy produces 3D density maps of molecular machines, which consist of various molecular components such as proteins and RNA. Segmentation of individual components in such maps is a challenging task, and is mostly accomplished interactively. We present an approach based on the immersive watershed method and grouping of the resulting regions using progressively smoothed maps. The method requires only three parameters: the segmentation threshold, a smoothing step size, and the number of smoothing steps. We first apply the method to maps generated from molecular structures and use a quantitative metric to measure the segmentation accuracy. The method does not attain perfect accuracy, however it produces single or small groups of regions that roughly match individual proteins or subunits. We also present two methods for fitting of structures into density maps, based on aligning the structures with single regions or small groups of regions. The first method aligns centers and principal axes, whereas the second aligns centers and then rotates the structure to find the best fit. We describe both interactive and automated ways of using these two methods. Finally, we show segmentation and fitting results for several experimentally-obtained density maps.
pubmed:grant
http://linkedlifedata.com/resource/pubmed/grant/NIH P41 RR-01081, http://linkedlifedata.com/resource/pubmed/grant/P41 RR002250-23, http://linkedlifedata.com/resource/pubmed/grant/P41 RR002250-24, http://linkedlifedata.com/resource/pubmed/grant/P41 RR002250-247897, http://linkedlifedata.com/resource/pubmed/grant/P41 RR002250-25, http://linkedlifedata.com/resource/pubmed/grant/P41RR02250, http://linkedlifedata.com/resource/pubmed/grant/PN2 EY016525-04, http://linkedlifedata.com/resource/pubmed/grant/PN2 EY016525-05, http://linkedlifedata.com/resource/pubmed/grant/PN2 EY016525-06, http://linkedlifedata.com/resource/pubmed/grant/PN2EY016525, http://linkedlifedata.com/resource/pubmed/grant/R01 GM079429-02, http://linkedlifedata.com/resource/pubmed/grant/R01 GM079429-03, http://linkedlifedata.com/resource/pubmed/grant/R01 GM079429-05, http://linkedlifedata.com/resource/pubmed/grant/R01GM079429
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-10222274, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-10998630, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-11352589, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-11472090, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-11566128, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-11922671, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-12051899, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-12160708, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-12351826, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-12876338, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-15099745, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-15264254, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-15943421, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-16125414, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-16429154, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-16625208, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-16908194, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-16963278, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-17011211, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-17029847, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-17063682, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-17150992, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-17965193, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-18334219, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-18358741, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-18691905, http://linkedlifedata.com/resource/pubmed/commentcorrection/20338243-18786402
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1095-8657
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
170
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
427-38
pubmed:dateRevised
2011-7-28
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions.
pubmed:affiliation
Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA. gdp@csail.mit.edu <gdp@csail.mit.edu>
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, N.I.H., Extramural