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Biopolymers

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Digital-to-biological converter for on-demand production of biologics.

Nature biotechnology
Manufacturing processes for biological molecules in the research laboratory have failed to keep pace with the rapid advances in automization and parellelization. We report the development of a digital-to-biological converter for fully automated, vers...

Biodegradable Small-Scale Swimmers for Biomedical Applications.

Advanced materials (Deerfield Beach, Fla.)
Most forms of biomatter are ephemeral, which means they transform or deteriorate after a certain time. From this perspective, implantable healthcare devices designed for temporary treatments should exhibit the ability to degrade and either blend in w...

Integrative measurement analysis via machine learning descriptor selection for investigating physical properties of biopolymers in hairs.

Scientific reports
Integrative measurement analysis of complex subjects, such as polymers is a major challenge to obtain comprehensive understanding of the properties. In this study, we describe analytical strategies to extract and selectively associate compositional i...

Biopolymer based artificial synapses enable linear conductance tuning and low-power for neuromorphic computing.

Nanoscale
Neuromorphic computing is considered a promising method for resolving the traditional von Neumann bottleneck. Natural biomaterial-based artificial synapses are popular units for constructing neuromorphic computing systems while suffering from poor li...

Mechanochemical Degradation of Biopolymers.

Molecules (Basel, Switzerland)
Mechanochemical treatment of various organic molecules is an emerging technology of green processes in biofuel, fine chemicals, or food production. Many biopolymers are involved in isolating, derivating, or modifying molecules of natural origin. Mech...

The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions.

Scientific data
The development of universal machine learning potentials (MLP) for small organic and drug-like molecules requires large, accurate datasets that span diverse chemical spaces. In this study, we introduce the QDπ dataset which incorporates data taken fr...