Standout Papers

Top-down design of protein architectures with reinforcement learning 2023 2026 202466
  1. Top-down design of protein architectures with reinforcement learning (2023)
    Shunzhi Wang, Christoffer Norn et al. Science
  2. De novo design of allosterically switchable protein assemblies (2024)
    Arvind Pillai, Connor Weidle et al. Nature

Immediate Impact

6 by Nobel laureates 41 from Science/Nature 104 standout
Sub-graph 1 of 21

Citing Papers

Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
2025 StandoutNature
2 intermediate papers

Works of Andrew J. Borst being referenced

Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins
2023 Nobel
Automatically Fixing Errors in Glycoprotein Structures with Rosetta
2018

Author Peers

Author Last Decade Papers Cites
Andrew J. Borst 359 60 31 69 65 23 531
Zhenguo Chen 245 36 181 52 30 35 470
Anshul Bhardwaj 398 27 265 33 40 29 612
Timothy S. Strutzenberg 439 37 10 47 50 21 578
Nicolas Soler 325 56 11 178 39 18 571
Sahil Gulati 405 53 22 29 32 36 626
Michelle S. Itano 268 15 17 46 60 18 458
Frances Joan D. Alvarez 378 22 28 45 77 18 585
Igor Orlov 346 40 64 16 28 15 609
Jean M. Watermeyer 229 25 15 49 77 11 490
Alexander Y. Lushnikov 461 42 34 47 31 17 601

All Works

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2026