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  1. Article

    Open Access

    Protein remote homology detection and structural alignment using deep learning

    Exploiting sequence–structure–function relationships in biotechnology requires improved methods for aligning proteins that have low sequence similarity to previously annotated proteins. We develop two deep lea...

    Tymor Hamamsy, James T. Morton, Robert Blackwell, Daniel Berenberg in Nature Biotechnology (2024)

  2. No Access

    Article

    OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization

    AlphaFold2 revolutionized structural biology with the ability to predict protein structures with exceptionally high accuracy. Its implementation, however, lacks the code and data required to train new models. ...

    Gustaf Ahdritz, Nazim Bouatta, Christina Floristean, Sachin Kadyan in Nature Methods (2024)

  3. Article

    Open Access

    PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

    Inferring gene regulatory networks (GRNs) from single-cell data is challenging due to heuristic limitations. Existing methods also lack estimates of uncertainty. Here we present Probabilistic Matrix Factorizat...

    Claudia Skok Gibbs, Omar Mahmood, Richard Bonneau, Kyunghyun Cho in Genome Biology (2024)

  4. Article

    Open Access

    Structure-primed embedding on the transcription factor manifold enables transparent model architectures for gene regulatory network and latent activity inference

    Modeling of gene regulatory networks (GRNs) is limited due to a lack of direct measurements of genome-wide transcription factor activity (TFA) making it difficult to separate covariance and regulatory interact...

    Andreas Tjärnberg, Maggie Beheler-Amass, Christopher A. Jackson in Genome Biology (2024)

  5. Article

    Open Access

    CRISPR arrays as high-resolution markers to track microbial transmission during influenza infection

    Disruption of the microbial community in the respiratory tract due to infections, like influenza, could impact transmission of bacterial pathogens. Using samples from a household study, we determined whether m...

    Lingdi Zhang, Jahan Rahman, Matthew Chung, Lauren Lashua, Aubree Gordon in Microbiome (2023)

  6. No Access

    Article

    Reply to: Examining microbe–metabolite correlations by linear methods

    James T. Morton, Daniel McDonald, Alexander A. Aksenov in Nature Methods (2021)

  7. No Access

    Article

    Macromolecular modeling and design in Rosetta: recent methods and frameworks

    The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions...

    Julia Koehler Leman, Brian D. Weitzner, Steven M. Lewis in Nature Methods (2020)

  8. Article

    Open Access

    Characterization of antibiotic resistance and host-microbiome interactions in the human upper respiratory tract during influenza infection

    The abundance and diversity of antibiotic resistance genes (ARGs) in the human respiratory microbiome remain poorly characterized. In the context of influenza virus infection, interactions between the virus, t...

    Lingdi Zhang, Christian V. Forst, Aubree Gordon, Gabrielle Gussin in Microbiome (2020)

  9. No Access

    Article

    Learning representations of microbe–metabolite interactions

    Integrating multiomics datasets is critical for microbiome research; however, inferring interactions across omics datasets has multiple statistical challenges. We solve this problem by using neural networks ( ...

    James T. Morton, Alexander A. Aksenov, Louis Felix Nothias in Nature Methods (2019)

  10. Article

    Open Access

    The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function.

    Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist, Alexandra J. Lee in Genome Biology (2019)

  11. No Access

    Article

    High-definition spatial transcriptomics for in situ tissue profiling

    Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capture both concurrently are lacking. Here, we developed high-definition spatial transcriptomics, which captures...

    Sanja Vickovic, Gökcen Eraslan, Fredrik Salmén, Johanna Klughammer in Nature Methods (2019)

  12. Article

    Open Access

    Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate

    The organization of chromatin in the nucleus plays an essential role in gene regulation. About half of the mammalian genome comprises transposable elements. Given their repetitive nature, reads associated with...

    Ramya Raviram, Pedro P. Rocha, Vincent M. Luo, Emily Swanzey in Genome Biology (2018)

  13. No Access

    Article

    Translating microbiome futures

    A group of microbiome researchers discuss some of the challenges in develo** a new generation of microbiome therapies.

    Gaspar Taroncher-Oldenburg, Susan Jones, Martin Blaser in Nature Biotechnology (2018)

  14. Article

    Open Access

    Fungi stabilize connectivity in the lung and skin microbial ecosystems

    No microbe exists in isolation, and few live in environments with only members of their own kingdom or domain. As microbiome studies become increasingly more interested in the interactions between microbes tha...

    Laura Tipton, Christian L. Müller, Zachary D. Kurtz, Laurence Huang in Microbiome (2018)

  15. Article

    Open Access

    Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP

    Membrane proteins are underrepresented in structural databases, which has led to a lack of computational tools and the corresponding inappropriate use of tools designed for soluble proteins. For membrane prote...

    Julia Koehler Leman, Sergey Lyskov, Richard Bonneau in BMC Bioinformatics (2017)

  16. Article

    Open Access

    An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their rel...

    Yuxiang Jiang, Tal Ronnen Oron, Wyatt T. Clark, Asma R. Bankapur in Genome Biology (2016)

  17. No Access

    Article

    FIREWACh: high-throughput functional detection of transcriptional regulatory modules in mammalian cells

    Screening of cells transduced with a lentivirus library harboring nucleosome-free regions of mammalian genomes identifies cis elements that regulate transcription.

    Matthew Murtha, Zeynep Tokcaer-Keskin, Zuojian Tang, Francesco Strino in Nature Methods (2014)

  18. Article

    Open Access

    Multi-species integrative biclustering

    We describe an algorithm, multi-species cMonkey, for the simultaneous biclustering of heterogeneous multiple-species data collections and apply the algorithm to a group of bacteria containing Bacillus subtilis, B...

    Peter Waltman, Thadeous Kacmarczyk, Ashley R Bate, Daniel B Kearns in Genome Biology (2010)

  19. Article

    Open Access

    UniPep - a database for human N-linked glycosites: a resource for biomarker discovery

    There has been considerable recent interest in proteomic analyses of plasma for the purpose of discovering biomarkers. Profiling N-linked glycopeptides is a particularly promising method because the population of...

    Hui Zhang, Paul Loriaux, Jimmy Eng, David Campbell, Andrew Keller in Genome Biology (2006)

  20. Article

    Open Access

    Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks

    The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the search space by means of clustering genes int...

    David J Reiss, Nitin S Baliga, Richard Bonneau in BMC Bioinformatics (2006)

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