AIMC Topic: Hydrogen-Ion Concentration

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Mechanisms of Adeno-Associated Virus Serotype 9 Vector Characterization and Quality Control through Solid-State Nanopores.

ACS nano
Adeno-associated virus (AAV) vectors are excellent gene-delivery carriers in gene therapy; however, improperly packaged capsids produced during manufacturing can reduce potency and raise safety concerns. We introduce a machine-learning-assisted, low-...

Deconvoluting Biophysical Factors that Influence Long-Term Aggregation Rates of High-Concentration Monoclonal Antibody Formulations.

Molecular pharmaceutics
Efficient determination of developable protein drug candidates and stable solution conditions is a key challenge in industrial drug development. Protein aggregation is difficult to predict and can lead to challenges in manufacturing, storage, and pat...

AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer.

Journal of chemical information and modeling
With the continued exploration of biological resources in extreme environments, functional proteins such as acidophilic proteins have attracted increasing attention. These proteins can maintain structural stability and biological functionality under ...

Integrating machine-learning and nanotechnology to quantify pH-modulated oxaliplatin release.

Scientific reports
The purpose of this work was to formulate and characterize pH-sensitive, surfactant-based nanomicelles for the targeted delivery of Oxaliplatin to breast cancer cells. A secondary aim was to utilize machine learning (ML) models to interpolate and dis...

pKa prediction for small molecules: an overview of experimental, quantum, and machine learning-based approaches.

Journal of computer-aided molecular design
The pKa, also known as the logarithmic dissociation constant, is a crucial parameter that defines the ionization level of a molecule when it is in solution. It is essential for several physicochemical properties, including lipophilicity, solubility, ...

Deep Learning-Based Prediction of Enzyme Optimal pH and Design of Point Mutations to Improve Acid Resistance.

ACS synthetic biology
An accurate deep learning predictor of enzyme optimal pH is essential to quantitatively describe how pH influences the enzyme catalytic activity. CatOpt, developed in this study, outperformed existing predictors of enzyme optimal pH (RMSE = 0.833 and...

Characterization of a Novel Mutansucrase (MUT-I) from G29: Enzymatic Properties and Product Analysis.

Journal of agricultural and food chemistry
Glucansucrases are extracellular enzymes capable of synthesizing diverse α-glucan polymers and oligosaccharides, including the industrially relevant mutan. The I-encoded mutansucrase (MUT-I) from G29 was biochemically characterized as a robust bioca...

Coupled acidification-nitrification dynamics in eutrophic estuarine waters.

Water research
The interplay between acidification and nitrification in estuarine systems could have profound effects on coastal biogeochemistry and ecosystem health. However, the lack of integrated field research risks oversimplifying their relationships in comple...

Overcoming the tumor microenvironment in pancreatic cancer barrier-specific nanoparticle drug delivery.

Nanoscale
Pancreatic cancer is one of the most lethal malignancies, largely due to the formidable pathophysiological barriers presented by its tumor microenvironment (TME). These include metabolic stress, such as acidosis and elevated reactive oxygen species; ...

Genomic Identification and Validation of Candidate Genes Associated with Alkalinity Tolerance in Exopalaemon carinicauda.

Marine biotechnology (New York, N.Y.)
China harbors extensive saline-alkaline water resources with considerable potential for aquaculture development. However, their utilization is constrained by high pH, elevated carbonate alkalinity, and complex ionic composition. Exopalaemon carinicau...