In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models.

There has been considerable progress in the development of computational methods for designing protein-protein interactions, but engineering high-affinity binders without extensive screening and maturation remains challenging. Here, we test a protein design pipeline that uses iterative rounds of deep learning (DL)-based structure prediction (AlphaFold2) and sequence optimization (ProteinMPNN) to design autoinhibitory domains (AiDs) for a PD-L1 antagonist. With the goal of creating an anticancer agent that is inactive until reaching the tumor environment, we sought to create autoinhibited (or masked) forms of the PD-L1 antagonist that can be unmasked by tumor-enriched proteases.

evolution of protein binders with deep learning models for structure prediction and sequence design.

There has been considerable progress in the development of computational methods for designing protein-protein interactions, but engineering high-affinity binders without extensive screening and maturation remains challenging. Here, we test a protein design pipeline that uses iterative rounds of deep learning (DL)-based structure prediction (AlphaFold2) and sequence optimization (ProteinMPNN) to design autoinhibitory domains (AiDs) for a PD-L1 antagonist. Inspired by recent advances in therapeutic design, we sought to create autoinhibited (or masked) forms of the antagonist that can be conditionally activated by proteases.

Single-Cell Activation of the cAMP-Signaling Pathway in 3D Tissues with FRET-Assisted Two-Photon Activation of bPAC.

Bacterial photoactivated adenylyl cyclase (bPAC) has been widely used in signal transduction research. However, due to its low two-photon absorption, bPAC cannot be efficiently activated by two-photon (2P) excitation. Taking advantage of the high two-photon absorption of monomeric teal fluorescent protein 1 (mTFP1), we herein developed 2P-activatable bPAC (2pabPAC), a fusion protein consisting of bPAC and mTFP1.

FRET-assisted photoactivation of flavoproteins for in vivo two-photon optogenetics.

Optical dimerizers have been developed to untangle signaling pathways, but they are of limited use in vivo, partly due to their inefficient activation under two-photon (2P) excitation. To overcome this problem, we developed Förster resonance energy transfer (FRET)-assisted photoactivation, or FRAPA. On 2P excitation, mTagBFP2 efficiently absorbs and transfers the energy to the chromophore of CRY2.

Successful single-lung transplantation for multicentric Castleman disease.

We report a rare case of multicentric Castleman disease treated successfully with single-lung transplantation. A 12-year-old patient developed increasing dyspnea. Elevated serum interleukin-6 (177.