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UID:submissions.pasc-conference.org_PASC26_sess173@linklings.com
SUMMARY:AP2B - ACM Papers: Agentic Workflows
DESCRIPTION:Access the recording\n\nKBase Research Agent: Automated Multi-
 Agent Workflow Construction for Reproducible Genome Analysis\n\nConstructi
 ng multi-step bioinformatics workflows, from read quality control through 
 genome assembly to functional annotation, requires expertise in both biolo
 gy and computational tool selection, creating a bottleneck for scalable an
 d reproducible analysis. We present the KBase Research Agent, a mult...\n\
 n\nPrachi Gupta, William Riehl, Mikaela Cashman, Dylan Chivian, Christophe
 r Neely, and Shane Canon (Lawrence Berkeley National Laboratory); Robert C
 ottingham (Oak Ridge National Laboratory); Chris Henry (Argonne National L
 aboratory); and Adam Arkin and Paramvir Dehal (Lawrence Berkeley National 
 Laboratory)\n---------------------\nScalable Agentic Reasoning for Designi
 ng Biologics Targeting Intrinsically Disordered Proteins\n\nIntrinsically 
 disordered proteins (IDPs) represent crucial therapeutic targets due to th
 eir significant role in disease–approximately 80% of cancer-related protei
 ns contain long disordered regions – but their lack of stable secondary/te
 rtiary structures makes them“undruggable.&#822...\n\n\nMatthew Sinclair, M
 oeen Meigooni, and Archit Vasan (Argonne National Laboratory); Ozan Gokdem
 ir (University of Chicago); Xinran Lian, Heng Ma, and Yadu Babuji (Argonne
  National Laboratory); Alexander Brace (University of Chicago, Argonne Nat
 ional Laboratory); Khalid Hossain (Argonne National Laboratory); Carlo Sie
 benschuh (University of Chicago); Thomas Brettin (Argonne National Laborat
 ory); Kyle Chard (University of Chicago); Christopher Henry, Daniel Schaba
 cker, and Venkatram Vishwanath (Argonne National Laboratory); Rick Stevens
  and Ian Foster (Argonne National Laboratory, University of Chicago); and 
 Arvind Ramanathan (Argonne National Laboratory)\n---------------------\nCe
 lloAI: Leveraging Large Language Models for HPC Software Development in Hi
 gh Energy Physics\n\nNext-generation High Energy Physics (HEP) experiments
  will generate unprecedented data volumes, necessitating High Performance 
 Computing (HPC) integration alongside traditional high-throughput computin
 g. However, HPC adoption in HEP is hindered by the challenge of porting le
 gacy software to heteroge...\n\n\nMohammad Atif, Kriti Chopra, Ozgur Kilic
 , Tianle Wang, and Zhihua Dong (Brookhaven National Laboratory); Charles L
 eggett (Lawrence Berkeley National Laboratory (LBNL)); Meifeng Lin (Brookh
 aven National Laboratory); Paolo Calafiura (Lawrence Berkeley National Lab
 oratory (LBNL)); and Salman Habib (Argonne National Laboratory (ANL))\n\nD
 omain: Engineering, Life Sciences, Physics\n\nSession Chair: Andrei Onut (
 University of Basel)
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