http://science.sciencemag.org/content/359/6376/693.full
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perspective
http://science.sciencemag.org/content/359/6376/619.full
Gene Expression Overlaps Among Psychiatric Disorders
Transcriptional profiling of post-mortem human brains reveals commonalities in the genes over- and under-expressed in schizophrenia, bipolar disorder, autism, and major depression.
3D clusters of somatic mutations…reveal numerous rare mutations as functional targets
https://GenomeMedicine.BiomedCentral.com/articles/10.1186/s13073-016-0393-x Introduces 3DHotSpots, which is one of a number of recent approaches (incl. CLUMPS, Hotspot3D, Mutation3D & HotMAPS) for finding groupings of somatic SNVs via structure
A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in #eQTL Studies http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000770 Early discussion & development of PEER factors
Cutting Edge: Building bridges between cellular & mol. structural biology https://ELIFEsciences.org/articles/25835 quote: “The use of structured biological #annotation is not common practice in
#cryoEM…[but] by the end of the meeting there was a clearer appreciation of the importance of [this]”
QT:{{”
As previously explained, structured biological annotation is the association of data with identifiers and ontologies taken from well-established bioinformatics resources. The use of structured biological annotation is not common practice in the electron microscopy or structural biology communities. Therefore, ontology experts were invited to the workshop to explain why these are useful and what resources and tools are available for assigning annotations. Use-cases such as mouse imaging data helped to explain the principles and practice of structured biological annotation. By the end of the meeting there was a clearer appreciation of the importance of structured biological annotation for searching and linking imaging data across different scales, between different imaging and structural databases and with other bioinformatics resources.”
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QT:{{”
• Find 3.8 Å resolution cryo-EM structure of the ∼200 kDa magnesium channel CorA • Mg2+-free CorA exhibits dramatic loss of symmetry in the cytoplasmic domain …
• Inter-subunit Mg2+ is important for stabilizing the closed state of CorA “}}
#CryoEM Structures of the Mg++ Channel CorA Reveal Symmetry Break upon Gating https://www.ScienceDirect.com/science/article/pii/S0092867415017195 In closed conformation: 5 identical subunits arranged tightly around 5-fold axis & pore. In open: they lose bridging ions & open to differing degrees with helix-hinging motions.
Matthies D1, Dalmas O2, Borgnia MJ1, Dominik PK2, Merk A1, Rao P1, Reddy BG2, Islam S2, Bartesaghi A1, Perozo E3, Subramaniam S4. Cell. 2016 Feb 11;164(4):747-56. doi: 10.1016/j.cell.2015.12.055.
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Box 1 of the following paper has a nice definition for differential privacy in genomics sense (phenotypic differential privacy): http://www.cell.com/cell-systems/fulltext/S2405-4712(16)30121-1 “
Accurate Prediction of Contact Numbers for Multi-Spanning Helical #MembraneProteins – via #NeuralNetwork w/ dropout
http://pubs.ACS.org/doi/abs/10.1021/acs.jcim.5b00517 In turn, this can enable accurate prediction of the rotation of TM helices & then the 3D #StructurePrediction of the whole protein
Atomic structure of the entire mammalian mitochondrial complex I https://www.Nature.com/articles/nature19794 Synthesizing #cryoEM w/ (high-FP) cross-linking data to gets a 3.9A structure w/ 78 helices
Fiedorczuk, K., Letts, J.A., Degliesposti, G., Kaszuba, K., Skehel, M., Sazanov, L.A. (2016) Atomic structure of the entire mammalian mitochondrial complex I. Nature 538; 406-410.
related to:
• Letts, J.A., Fiedorczuk, K., Sazanov, L.A. (2016) The architecture of respiratory supercomplexes. Nature 537; 644-648.
linkstream2 microblog 