Self-Assembling 2D Arrays with de Novo Protein Building Blocks.

J Am Chem Soc

Physical Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States.

Published: June 2019

Modular self-assembly of biomolecules in two dimensions (2D) is straightforward with DNA but has been difficult to realize with proteins, due to the lack of modular specificity similar to Watson-Crick base pairing. Here we describe a general approach to design 2D arrays using de novo designed pseudosymmetric protein building blocks. A homodimeric helical bundle was reconnected into a monomeric building block, and the surface was redesigned in Rosetta to enable self-assembly into a 2D array in the C12 layer symmetry group. Two out of ten designed arrays assembled to micrometer scale under negative stain electron microscopy, and displayed the designed lattice geometry with assembly size up to 100 nm under atomic force microscopy. The design of 2D arrays with pseudosymmetric building blocks is an important step toward the design of programmable protein self-assembly via pseudosymmetric patterning of orthogonal binding interfaces.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311176PMC
http://dx.doi.org/10.1021/jacs.9b01978DOI Listing

Publication Analysis

Top Keywords

building blocks
12
arrays novo
8
protein building
8
design arrays
8
self-assembling arrays
4
novo protein
4
building
4
blocks modular
4
modular self-assembly
4
self-assembly biomolecules
4

Similar Publications

Use of Telehealth as an Adjunct to Conventional Mental Health Care.

Obstet Gynecol Clin North Am

March 2025

Division of Maternal-Fetal Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA. Electronic address:

The lack of resources for mental health diagnosis and treatment contributes greatly to maternal morbidity and mortality. Social and cultural barriers, along with the impact of social determinants of health create burdens that prevent mothers from accessing care and treatment. Telehealth care improves access and is widely accepted by clinicians, patients, and their families by reducing need for in person visits, providing privacy, and decreasing costs.

View Article and Find Full Text PDF

Sphingolipids serve as building blocks of membranes to ensure subcellular compartmentalization and facilitate intercellular communication. How cell type-specific lipid compositions are achieved and what is their functional significance in tissue morphogenesis and maintenance has remained unclear. Here, we identify a stem cell-specific role for ceramide synthase 4 (CerS4) in orchestrating fate decisions in skin epidermis.

View Article and Find Full Text PDF

Pd-Catalyzed Asymmetric Synthesis of Chiral 2-Trifluoromethyl-4-(indol-3-yl)-4-chromene Derivatives.

J Org Chem

January 2025

State Key Laboratory of Fine Chemicals, Department of Pharmaceutical Engineering, School of Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.

This paper presents a new strategy for the construction of the chiral 4-chromene skeleton. A series of chiral 2-trifluoromethyl-4-(indol-3-yl)-4-chromenes were synthesized in moderate to good yields (60-92%) with excellent enantioselectivity (up to 97% ee) through the palladium-catalyzed asymmetric condensation of 2-chromenes and indoles. These trifluoromethylated, stereochemically rich building blocks hold potential value in medicinal chemistry.

View Article and Find Full Text PDF

Aim: Young people with childhood-onset motor disabilities face unique challenges in understanding and managing their condition. This study explored how they learnt about their condition.

Method: A descriptive qualitative study was conducted in 2023-2024 at a Swiss paediatric neurorehabilitation unit.

View Article and Find Full Text PDF

Functional principal component analysis with informative observation times.

Biometrika

October 2024

Department of Statistics, North Carolina State University, 2311 Stinson Drive, Raleigh, North Carolina 27695, USA.

Functional principal component analysis has been shown to be invaluable for revealing variation modes of longitudinal outcomes, which serve as important building blocks for forecasting and model building. Decades of research have advanced methods for functional principal component analysis, often assuming independence between the observation times and longitudinal outcomes. Yet such assumptions are fragile in real-world settings where observation times may be driven by outcome-related processes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!