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

Immediate Impact

1 by Nobel laureates 7 from Science/Nature 76 standout
Sub-graph 1 of 19

Citing Papers

Rapid in silico directed evolution by a protein language model with EVOLVEpro
2024 StandoutScience
Empowering biomedical discovery with AI agents
2024 Standout
1 intermediate paper

Works of Elizabeth M. Leaf being referenced

Top-down design of protein architectures with reinforcement learning
2023 StandoutScienceNobel

Author Peers

Author Last Decade Papers Cites
Elizabeth M. Leaf 875 433 290 457 25 1.6k
Gabrielle Curinga 591 565 203 407 11 1.4k
Toshifumi Sugatani 703 1080 290 228 27 2.0k
Yuji Yamazaki 1196 1109 134 800 26 2.2k
Despina Sitara 1117 841 282 721 28 2.0k
Moeen Abedin 295 488 164 177 25 1.5k
Dympna Harmey 446 550 577 300 16 1.6k
Yvonne Nitschke 459 456 566 703 40 1.4k
Ulrike I. Mödder 180 922 139 388 24 1.8k
Alka Jain 201 727 591 183 25 1.6k
Helge Löfberg 288 489 171 200 32 1.6k

All Works

Loading papers...

Rankless by CCL
2026