A protein composition including TorsinA or TorsinA mutant, LULL1, and a nanobody obtained by immunization using TorsinA and LULL1 is used to grow complex crystals, and three dimensional structures are determined using x-ray data of the crystals. A creening platform is built based on the determined three dimensional structures for designing a drug lead to cure dystonia.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities.

Provided are drug-transport metabolomics profile assessments and therapies.

An embodiment of a system and method for characterizing a Clostridium-associated condition in relation to a user includes: a handling network operable to receive containers including material from a set of users, the handling network including a sequencing system operable to determine microbiome sequences from sequencing the material; a processing system operable to generate a microbiome composition dataset and a microbiome functional diversity dataset based on the microbiome sequences, receive a supplementary dataset associated with the Clostridium-associated condition for the set of users; transform the supplementary dataset and features extracted from the microbiome composition dataset and the microbiome functional diversity dataset into a characterization model for the Clostridium-associated condition; and a therapy system operable to promote a therapy to the user based on characterizing the user in relation to the Clostridium-associated condition using the characterization model.

The invention is concerned with compounds, pharmaceutical compositions, screening methods, and therapeutic methods for preventing or reducing a human immunodeficiency virus type-1 (HIV-1) infection and/or propagation associated with dendritic cell immunoreceptor (DCIR). Described herein are compounds which bind on at least one three-dimensional cavity of the DCIR, the cavity(ies) being involved in the interaction between HIV-1 and DCIR. Also described are screening methods for identifying active inhibitors and method of using such inhibitors for the prevention or treatment of virus infections, and more particularly for reducing human immunodeficiency virus type-1 (HIV-1) binding, entry and/or replication in human cells.

The invention provides compositions and methods for engineering E. coli or other host production bacterial strains to produce fucosylated oligosaccharides, and the use thereof in the prevention or treatment of infection.

The invention provides compositions and methods for engineering E. coli or other host production bacterial strains to produce fucosylated oligosaccharides, and the use thereof in the prevention or treatment of infection.

Embodiments of a system, method and apparatus incorporate two-stage identification of targets in hyperspectral image analysis. In various embodiments, unmixing is employed that integrates F-test and model averaging approaches. Further, a multi-tier target library process provides an improvement in the spectra that can be used to detect target materials and spectra that can be used for unmixing in identification. Additionally, the hierarchical identification of the present disclosure combines probabilities from model averaging to generate target identifications simultaneously at multiple levels of specificity.

Embodiments of a system, method and apparatus incorporate two-stage identification of targets in hyperspectral image analysis. In various embodiments, unmixing is employed that integrates F-test and model averaging approaches. Further, a multi-tier target library process provides an improvement in the spectra that can be used to detect target materials and spectra that can be used for unmixing in identification. Additionally, the hierarchical identification of the present disclosure combines probabilities from model averaging to generate target identifications simultaneously at multiple levels of specificity.