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          <dc:title>Semi-Automated
Discovery of Structural Elements Controlling
GPCR Function</dc:title>
          <dc:creator>Jingjing Ji (1597363)</dc:creator>
          <dc:creator>Edward Lyman (1858066)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>structural biology toolkit</dc:subject>
          <dc:subject>previously reported motion</dc:subject>
          <dc:subject>performs unsupervised clustering</dc:subject>
          <dc:subject>opening new opportunities</dc:subject>
          <dc:subject>like ” motion</dc:subject>
          <dc:subject>featurized simulation data</dc:subject>
          <dc:subject>experimental structures alone</dc:subject>
          <dc:subject>accompany functional transitions</dc:subject>
          <dc:subject>coupled “ piston</dc:subject>
          <dc:subject>known structural elements</dc:subject>
          <dc:subject>identifies several well</dc:subject>
          <dc:subject>automated analysis pipeline</dc:subject>
          <dc:subject>coupled receptors</dc:subject>
          <dc:subject>automated discovery</dc:subject>
          <dc:subject>revealing structure</dc:subject>
          <dc:subject>reproducible observations</dc:subject>
          <dc:subject>obtain trajectories</dc:subject>
          <dc:subject>large set</dc:subject>
          <dc:subject>known microswitches</dc:subject>
          <dc:subject>input features</dc:subject>
          <dc:subject>important part</dc:subject>
          <dc:subject>function mechanisms</dc:subject>
          <dc:subject>cluster identity</dc:subject>
          <dc:description>Molecular simulations of G-protein-coupled receptors
have become
an important part of the structural biology toolkit, revealing structure-function
mechanisms that are unobservable from experimental structures alone.
With the advance of hardware and software, it has become routine to
obtain trajectories that are tens of microseconds in duration, opening
new opportunities for yet more rigorous and reproducible observations
on mechanism. Toward this end, we presented a semi-automated analysis
pipeline which operates on featurized simulation data, performs unsupervised
clustering, and then identifies which input features are most discriminatory
of cluster identity. Application of this pipeline to a large set of
G-protein-coupled receptor simulation data shows that it identifies
several well-known microswitches. Inspection of these structural elements
reveals changes in conformation that are known to accompany functional
transitions of the receptor. In addition to these known structural
elements, the analysis also identifies functional transitions associated
with one new motifthe kink in transmembrane helix 2and
discovers a coupled “piston-like” motion of TM2 and
TM3 that elaborates a previously reported motion of TM3.</dc:description>
          <dc:date>2026-09-15T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Media</dc:type>
          <dc:identifier>10.1021/acs.jcim.6c01584.s002</dc:identifier>
          <dc:relation>https://figshare.com/articles/media/Semi-Automated_Discovery_of_Structural_Elements_Controlling_GPCR_Function/33803955</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
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