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- PepEvolve Public
PepEVOLVE is a reinforcement learning framework for the multi-position optimization of peptide sequences. It combines a pretrained Mol2Mol generative model with a router-learner and a group-relative policy optimization (GRPO) strategy to iteratively evolve peptide candidates toward user-defined physicochemical or biological objectives.
MSDLLCpapers/PepEvolve’s past year of commit activity - popPK_FitCheckR Public
MSDLLCpapers/popPK_FitCheckR’s past year of commit activity - qb-qbcds-coast Public
Causal Intelligence for Constraint-Aware Intervention Design to Induce State Transitions
MSDLLCpapers/qb-qbcds-coast’s past year of commit activity - teal-agents Public
MSDLLCpapers/teal-agents’s past year of commit activity - MGtree Public
MSDLLCpapers/MGtree’s past year of commit activity - oncoPoS Public
oncoPoS performs Probability of Success (PoS) calculations for a phase 3 oncology study using a Bayesian Hierarchical model. The prior in this model is based on the data observed in an earlier study, design features for the phase 3 study that is being assessed and the industry benchmark for success.
MSDLLCpapers/oncoPoS’s past year of commit activity - ovo-containers Public
MSDLLCpapers/ovo-containers’s past year of commit activity - Pepopt Public
MSDLLCpapers/Pepopt’s past year of commit activity
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