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DTSTAMP:20260611T145141Z
LOCATION:Bldg. 6 - Room 003
DTSTART;TZID=Europe/Stockholm:20260701T113000
DTEND;TZID=Europe/Stockholm:20260701T130000
UID:submissions.pasc-conference.org_PASC26_sess173@linklings.com
SUMMARY:AP2B - ACM Papers: Agentic Workflows
DESCRIPTION:KBase Research Agent: Automated Multi-Agent Workflow Construct
 ion for Reproducible Genome Analysis\n\nConstructing multi-step bioinforma
 tics workflows, from read quality control through genome assembly to funct
 ional annotation, requires expertise in both biology and computational too
 l selection, creating a bottleneck for scalable and reproducible analysis.
  We present the KBase Research Agent, a mult...\n\n\nPrachi Gupta, William
  Riehl, Mikaela Cashman, Dylan Chivian, Christopher Neely, and Shane Canon
  (Lawrence Berkeley National Laboratory); Robert Cottingham (Oak Ridge Nat
 ional Laboratory); Chris Henry (Argonne National Laboratory); and Adam Ark
 in and Paramvir Dehal (Lawrence Berkeley National Laboratory)\n-----------
 ----------\nScalable Agentic Reasoning for Designing Biologics Targeting I
 ntrinsically Disordered Proteins\n\nIntrinsically disordered proteins (IDP
 s) represent crucial therapeutic targets due to their significant role in 
 disease–approximately 80% of cancer-related proteins contain long disorder
 ed regions – but their lack of stable secondary/tertiary structures makes 
 them“undruggable.&#822...\n\n\nMatthew Sinclair, Moeen Meigooni, and Archi
 t Vasan (Argonne National Laboratory); Ozan Gokdemir (University of Chicag
 o); Xinran Lian, Heng Ma, and Yadu Babuji (Argonne National Laboratory); A
 lexander Brace (University of Chicago, Argonne National Laboratory); Khali
 d Hossain (Argonne National Laboratory); Carlo Siebenschuh (University of 
 Chicago); Thomas Brettin (Argonne National Laboratory); Kyle Chard (Univer
 sity of Chicago); Christopher Henry, Daniel Schabacker, and Venkatram Vish
 wanath (Argonne National Laboratory); Rick Stevens and Ian Foster (Argonne
  National Laboratory, University of Chicago); and Arvind Ramanathan (Argon
 ne National Laboratory)\n---------------------\nCelloAI: Leveraging Large 
 Language Models for HPC Software Development in High Energy Physics\n\nNex
 t-generation High Energy Physics (HEP) experiments will generate unprecede
 nted data volumes, necessitating High Performance Computing (HPC) integrat
 ion alongside traditional high-throughput computing. However, HPC adoption
  in HEP is hindered by the challenge of porting legacy software to heterog
 e...\n\n\nMohammad Atif, Kriti Chopra, Ozgur Kilic, Tianle Wang, and Zhihu
 a Dong (Brookhaven National Laboratory); Charles Leggett (Lawrence Berkele
 y National Laboratory (LBNL)); Meifeng Lin (Brookhaven National Laboratory
 ); Paolo Calafiura (Lawrence Berkeley National Laboratory (LBNL)); and Sal
 man Habib (Argonne National Laboratory (ANL))\n\nDomain: Engineering, Life
  Sciences, Physics\n\nSession Chair: Andrei Onut (University of Basel)
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