ICLR 2026: Nvidia & Oxford Introduce Atom‑Level Protein Binder Generator with SOTA Performance

A joint team from Nvidia, Oxford University and the Quebec AI Institute presents Complexa, an atom‑level protein binder generation framework that unifies generative and refinement steps, achieves state‑of‑the‑art in‑silico success rates, and scales efficiently with test‑time compute.

ComplexaGenerative AIICLR 2026

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ICLR 2026: Nvidia & Oxford Introduce Atom‑Level Protein Binder Generator with SOTA Performance

HyperAI Super Neural

Oct 27, 2025 · Artificial Intelligence

MIT’s Open‑Source BoltzGen Achieves nM‑Level Affinity for 66% of Targets Across Molecular Types

BoltzGen, an all‑atom generative model released by MIT and collaborators, unifies protein folding and binder design with a geometric continuous representation and a flexible design language, training on multimodal datasets and demonstrating nM‑level affinity for 66% of 26 diverse targets including proteins, nanobodies, peptides and small molecules.

BoltzGenGenerative AIdiffusion model

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MIT’s Open‑Source BoltzGen Achieves nM‑Level Affinity for 66% of Targets Across Molecular Types

HyperAI Super Neural

Oct 21, 2025 · Artificial Intelligence

BindCraft Enables Direct AlphaFold2‑Driven Intelligent Protein Binder Design (46% Success on 12 Targets)

BindCraft, an open‑source pipeline from EPFL and MIT, uses AlphaFold2 gradient back‑propagation to design protein binders without manual scaffolding, achieving an average 46.3% success rate across 12 challenging targets and offering a one‑click tutorial for rapid experimentation.

AlphaFold2BindCraftDeep Learning

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BindCraft Enables Direct AlphaFold2‑Driven Intelligent Protein Binder Design (46% Success on 12 Targets)