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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post131@linklings.com
SUMMARY:Capsule Networks for Protein Structure Classification
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nCapsule Ne
 tworks for Protein Structure Classification\n\nRosa de Jesus, Cuevas Pania
 gua, Rivera, Crivelli\n\nCapsule Networks have great potential to tackle p
 roblems in structural biology because of their attention to hierarchical r
 elationships. This work describes the implementation and application of a 
 capsule network architecture to the classification of RAS protein family s
 tructures on GPU-based computational resources. Our results show that the 
 proposed capsule network trained on 2D and 3D structural encodings can suc
 cessfully classify HRAS and KRAS structures. The capsule network can also 
 classify a protein-based dataset derived from a PSI-BLAST search on sequen
 ces of KRAS and HRAS mutations. Experimental results show an accuracy impr
 ovement compared to traditional convolutional networks.
URL:https://sc18.supercomputing.org/presentation/?id=post131&sess=sess324
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