Abstract: Technologies are described related to determining protein structure and properties based on sequences of proteins. In various implementations, a first model can be generated to determine structural features of proteins based on amino acid sequences of the proteins. Additionally, a second model can be generated to determine biophysical properties of proteins based on structural features of the proteins. In particular implementations, an amino acid sequence of a particular protein can be utilized by the first model to determine one or more structural features of the protein. The one or more structural features of the protein generated by the first model can be utilized by the second model to determine at least one biophysical property of the protein.

Abstract: A chimeric non-human mammal disease model, wherein (1) at least 30% of all the glial cells in the corpus callosum of the chimeric non-human mammal are human glial cells, and/or (2) at least 5% of all of the glial cells in the white matter of the brain and/or brain stem of the chimeric non-human mammal are human glial cells, and wherein the human glial cells comprise a combination of a first group of human glial cells tagged with a first label and a second group of human glial cells tagged with a second label that is distinguishable from the first label.

Abstract: The present invention provides transgenic animals (e.g., transgenic porcine animals), organs, tissues, and cells derived from the transgenic animals that are particularly useful for xenotransplantation therapies. In particular, the present invention provides transgenic porcine animals, as well as organs, tissues and cells derived from the transgenic porcine animals, which lack any expression of a functional alpha 1,3 galactosyltransferase (GTKO) gene and comprise at least six transgenes under the control of at least three promoters within a single multi-gene expression vector, and further comprise at least four additional genetic modifications. Also provided are methods of making the transgenic animals (e.g., transgenic porcine animals), and methods of using the transgenic animals, organs, tissues, and cells derived from the transgenic animals for xenotransplantation therapies and treating a disease or condition.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that a implement a framework for active learning to discover pairwise interactions via representation learning. Indeed, in one or more implementations, the disclosed systems generate a first individual perturbation embedding from a first representation of a first cell exposed to a first perturbation and a second individual perturbation embedding, from a second representation of a second cell exposed to a second perturbation. For instance, the disclosed systems combine the first individual perturbation embedding and the second individual perturbation embedding to determine a predicted pairwise embedding. Moreover, in some instances, the disclosed systems generate a pairwise embedding from a representation of a cell exposed to both the first and second perturbation.

Abstract: The invention provides a method of diagnosing overactive bladder disorder (OAB), the method comprising: measuring the concentrations of one or more of adenosine triphosphate (ATP), acetylcholine (ACh), nitric oxide (NO) and interleukin 5 (IL-5) in a sample obtained from a subject; normalising the concentrations to the concentration of creatinine (Cr) in the sample; range standardising the normalised concentrations and subject's age to the following values: Age to 120 years old; ATP/Cr to 0.000001; ACh/Cr to 0.1; NO to 20000; IL-5/Cr to 100; wherein the likelihood of having OAB (pOAB)=1/1+e?x, where X=one or more of the following: (a) (?2.688±1.050)+5.472±2.098×subject's age+1.356±0.559×Gender (Female=1, Male=0)+(?7.998±40.273)×[IL-5/Cr]; (b) (?2.141±0.966)+4.506±1.902×subject's age+1.034±0.519×Gender (Female=1, Male=0)+(?5294.063±9075.456)×[ACh/Cr]; (c) (?2.825±1.072)+5.964±2.167×subject's age+1.312±0.562×Gender (Female=1, Male=0)+17.790±58.762×[IL-5/Cr]+(?9180.821±12700.057)×[ACh/Cr]; (d) (?2.993±1.197)+5.

Abstract: A predictive system may access a set of physical structures corresponding to a physical system. Each physical structure representative of a configuration. The predictive system may encode the accessed physical structures to produce a set of encoded physical structures by encoding, for each accessed physical structure, a position of each constituent unit of the physical system within the accessed physical structure. The predictive system may train a machine-learned model using the encoded physical structures. The predictive system may retrain the machine-learned model by iteratively: accessing a set of two or more candidate physical structures, determining a first energy difference among the set of candidate physical structures, obtaining a second energy difference between a set of physical structures corresponding to the set of candidate physical structures using a method to calculate reference energy values.

Abstract: Virus-Like Particles derived from the subfamilies, Parahepevirinae, which infect trout and salmon, and the Orthohepevirinae, which infect mammals and birds, particularly those of the species Paslahepevirus balayani, which can cause acute hepatitis in humans and several mammalian species, and chronic conditions in immunocompromised patients are also disclosed. Major aspects of the invention relate to compositions of Virus-Like Particles comprising viral capsid proteins capable of assembly in cultured cells that may be purified, disassembled, and reassembled in the presence of other molecules suitable for use as therapeutic drug products to facilitate the targeting and delivery of cargo molecules to specific cells or tissues, or as antigenic agents designed to stimulate responses to heterologous epitopes exposed on the surfaces of Virus-Like Particles.

Abstract: The present invention relates to a phage or a composition that comprises it, wherein said phage expresses at least one specific recognition element and is furthermore conjugated with at least 300 molecules of a sonosensitiser. The invention further relates to the use of said phage in a sonodynamic therapy.

Abstract: The present disclosure provides, in part, nucleic acid loaded flowable hydrogels and compositions, systems and methods related thereto, to effectively deliver nucleic acids to cells that contact the flowable hydrogels.

Abstract: A method and a system of molecular typing and subtyping classifier for immune-related diseases are provided. The method includes: conducting molecular typing via a clustering algorithm in a training set to obtain a plurality of subtypes stably appearing in the training set and a marker gene for each subtype; conducting enrichment analysis on marker genes for the plurality of subtypes, conducting immune cell infiltration evaluation on the plurality of subtypes, and dividing the plurality of subtypes into a plurality of subtype classes according to results of the analysis and the evaluation; comparing treatment response rates of different subtype classes through a comparison set to determine a subtype class to be identified; constructing a support vector machine model with feature genes screened and an optimal parameter combination; and determining whether immune-related disease data to be classified is the subtype class to be identified.

Abstract: The present invention relates to ex vivo methods for obtaining populations of human keratinocytes derived from human pluripotent stem cells (hPSCs). More particularly, the present invention relates to an automated method that combines in a sequential manner automated differentiation and amplification of a population of hPSC-derived keratinocytes.

Abstract: An information processing method, which includes an evaluating step of evaluating at least one item of growth potential, nutrition state of a protein, utilization efficiency of an amino acid, glucose metabolism, stress, appetite, feed efficiency, growth speed, and growth prediction, by using a blood concentration value of at least one amino acid of Asn, Ser, Gly, His, Thr, Arg, Pro, Tyr, Val, Met, Orn, Lys, Ile, Leu, Phe, Trp, and 3Met-His, obtained from an animal, or a value of one or a plurality of formulae that include an explanatory variable to be substituted with the blood concentration value, calculated using the formula and the blood concentration value, wherein at the evaluating step, each evaluation is carried out using the blood concentration value or the value of one formula, is useful for evaluating the health and/or growth state of livestock.

Abstract: A method to develop one or more morphometric classifiers to identify a mismatch repair deficiency (MMRD). The method provides a non-invasive method of characterizing MMRD that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.

Abstract: Disclosed herein are methods of in silico generation of polypeptide structures using time-based data generated from molecular dynamics simulations. Also disclosed herein are methods of predicting an epitope or binding surface of a polypeptide using in silico methods. Also disclosed herein are compositions containing polypeptide therapeutics designed to bind to a predicted epitope structure of a polypeptide, as well as methods of treating a subject by administering to the subject compositions containing the same.

Abstract: A program for operating a cell culture support apparatus causes a computer to acquire a learned model, derived by performing machine learning on the basis of a set of time-series data for learning indicating a time transition of an amount of each of plural types of components constituting a medium used for cell culture and good/bad data indicating good or bad of a result of the cell culture in correspondence with the time-series data for learning, indicating a guideline of the amount, acquire time-series data for analysis indicating the time transition of the amount, derive quantitative guideline information of the amount for obtaining a good result in the cell culture, with respect to at least one of the plural types of components, from the learned model and input data of at least a part of the time-series data for analysis acquired, and output guideline information.

Abstract: A packaging system for a coronavirus pseudovirus, including a vesicular stomatitis virus (VSV) vector in which Fluc and EGFP dual-reporter genes replace a GP gene, and packaging cell that expresses a coronavirus spike protein. The packaging system may quickly package pseudoviruses by using a one-step packaging method, and may be used in the research of coronaviruses such as COVID-19 (SARS-CoV-2), SARS (SARS-CoV) and MERS, and other viruses. The packaging system and thereby pseudovirus method may also be used to evaluate the efficacy of disinfectants by means of virus contamination distribution models, setting up scenarios, and sampling and testing steps.

Abstract: A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.

Abstract: A method and apparatus for decompressing FASTQ data through character frequency-based sequence reordering implemented by a computer apparatus, the method including separating genome sequencing data into components of an identifier, a nucleotide sequence read, and prediction quality information; measuring character frequency for the entire data of each of the nucleotide sequence read and the prediction quality information; producing a score by applying the measured character frequency for the nucleotide sequence read and the prediction quality information; reordering the nucleotide sequence read and the prediction quality information based on a condition that is preset based on the score; and compressing at least one of information of the identifier, an identifier of the nucleotide sequence read, and an identifier of the prediction quality information through a compression program by including the reordered nucleotide sequence read and the reordered prediction quality information and generating compressed geno

Abstract: The disclosure is related to methods of cancer early detection. In some embodiments, a panel of selected protein tumor markers are used for effective and affordable multi-cancer early detection.

Abstract: Apparatus and methods are described including using a sensor to monitor a sleeping subject and generate a signal in response to the monitoring. A noise control device is controlled in response to the signal.