AIMC Topic: Solubility

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Develop machine learning-based regression predictive models for engineering protein solubility.

Bioinformatics (Oxford, England)
MOTIVATION: Protein activity is a significant characteristic for recombinant proteins which can be used as biocatalysts. High activity of proteins reduces the cost of biocatalysts. A model that can predict protein activity from amino acid sequence is...

DeepSol: a deep learning framework for sequence-based protein solubility prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Protein solubility plays a vital role in pharmaceutical research and production yield. For a given protein, the extent of its solubility can represent the quality of its function, and is ultimately defined by its sequence. Thus, it is imp...

The Influence of Mechanical Rubbing on the Dissolution of Blood Clots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Mechanical rubbing of blood clots is a potential minimally-invasive method for clearing clogged blood vessels. In this work, we investigate the influence of the interaction of the tip of a helical robot with blood clots. This interaction enables the ...

Formulation and solid state characterization of carboxylic acid-based co-crystals of tinidazole: An approach to enhance solubility.

Polimery w medycynie
BACKGROUND: Tinidazole (TNZ) is an anti-parasite drug used in the treatment of a variety of amebic and parasitic infections. It has low solubility in aqueous media and is categorized under Class II of the Biopharmaceutical Classification System.

The preparation and physicochemical characterization of eprosartan mesylate-laden polymeric ternary solid dispersions for enhanced solubility and dissolution rate of the drug.

Polimery w medycynie
BACKGROUND: Eprosartan mesylate is a poorly water-soluble drug. It does not dissolve well in the aqueous gastrointestinal fluid, which means it is not absorbed well via the oral route, because a drug can cross cell membranes when it is dissolved in t...

Machine learning in computational biology to accelerate high-throughput protein expression.

Bioinformatics (Oxford, England)
MOTIVATION: The Human Protein Atlas (HPA) enables the simultaneous characterization of thousands of proteins across various tissues to pinpoint their spatial location in the human body. This has been achieved through transcriptomics and high-throughp...

Application of SeDeM expert systems in preformulation studies of pediatric ibuprofen ODT tablets.

Acta pharmaceutica (Zagreb, Croatia)
Pediatric, ibuprofen containing orodispersible tablets (ODTs) were prepared using the SeDeM expert system methodology. In order to facilitate formulation, directly compressible ibuprofen was employed (Ibuprofen DC 8TM) and characterized using its SeD...

POTENTIOMETRIC STUDY OF Pd(II) COMPLEXES OF SOME FLAVONOIDS IN WATER-METHANOL-1,4-DIOXANE-ACETONITRILE (MDM) MIXTURE.

Acta poloniae pharmaceutica
The potentiometric method was used to determine the protonation (dissociation) constants for morin, rutin and chrysin and the composition and formation constants of the Pd(II)-flavonoid complexes in the water/methanol/acetonitrile/1,4-dioxane mixture...

Prediction of Dissolution Data Integrated in Tablet Database Using Four-Layered Artificial Neural Networks.

Chemical & pharmaceutical bulletin
A large number of dissolution data were measured and integrated into a previously constructed tablet database composed of 14 kinds of compounds as model active pharmaceutical ingredients (APIs) with contents ranging from 10 to 80%. The database has c...