PepMimic

Peptide binder design through binding interface mimicry with a latent diffusion model

Input

A protein complex containing the target protein bound to a known binder (e.g. an antibody, nanobody, or receptor). PepMimic mimics the binder side of this interface.

60 credits

Output

Configure input settings on the left, then click "Submit job"orLoad an example (it's free)

Source example (CD38 / SAR650984 Fab)

Quick screen (fewer candidates)

Input

A protein complex containing the target protein bound to a known binder (e.g. an antibody, nanobody, or receptor). PepMimic mimics the binder side of this interface.

60 credits

Output

Configure input settings on the left, then click "Submit job"orLoad an example (it's free)

Source example (CD38 / SAR650984 Fab)

Quick screen (fewer candidates)

Related tools

BoltzGen

BoltzGen

BoltzGen is a state-of-the-art AI model for designing protein and peptide binders against any biomolecular target. Using generative diffusion models, it creates novel binders (proteins, peptides, nanobodies) with nanomolar-level binding affinity.

PepMLM

PepMLM

Design linear peptide binders for target proteins using a target sequence-conditioned masked language model. PepMLM generates peptide sequences optimized to bind specific protein targets based on ESM-2 protein language modeling.

PocketXMol

PocketXMol

PocketXMol is a pocket-interacting generative foundation model for docking, small-molecule design, and peptide design in protein binding pockets.

PocketFlow

PocketFlow

PocketFlow is a structure-based molecular generative model that designs novel drug-like molecules within protein binding pockets. It uses autoregressive flow modeling with chemical knowledge to generate 100% chemically valid, highly drug-like compounds.

Proteina-Complexa

Proteina-Complexa

Design protein binders against a target structure with NVIDIA BioNeMo's Proteina-Complexa generative pipeline.

RFantibody

RFantibody

Structure-based de novo antibody and nanobody design pipeline combining antibody-tuned RFdiffusion, ProteinMPNN sequence design, and antibody-tuned RoseTTAFold2 filtering.

EvoDiff

EvoDiff

EvoDiff is a diffusion-based protein sequence generation framework from Microsoft Research. ProteinIQ currently wraps the EvoDiff-Seq OA_DM_38M model for unconditional protein generation, motif scaffolding, and user-sequence inpainting.

Genie 3

Genie 3

Generate protein structures and scaffolds with Genie 3, an all-atom SE(3)-equivariant diffusion model. Genie 3 supports unconditional protein generation, motif scaffolding, and hotspot-targeted binder design.

ODesign

ODesign

All-atom generative AI for designing protein binders. Specify target binding sites and generate diverse binding proteins with fine-grained control over interaction parameters.

Proteo-R1

Proteo-R1

Reasoning-guided antibody CDR co-design for antibody-antigen complexes. Proteo-R1 identifies residue-level functional decisions and uses conditional diffusion to generate ranked designed structures with confidence metrics.