Below are the most recent publications written about "Proteins" by people in Profiles.
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Nanda V, Siess J, Jagilinki BP, Hazen RM, Kamerlin SCL, Koder R, Noy D, Silberg J, Tezcan FA, Ulijn R, Yee N, Falkowski P. On the emergence of metabolism: the evolution of proteins that powered life. Philos Trans R Soc Lond B Biol Sci. 2025 Aug 07; 380(1931):20240090.
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Maniaci B, Mealka M, Bobkov AA, Stec B, Huxford T, Love JJ. Incorporating Metal-Ligand and Salt-Bridge Interactions in the Design of Protein Heterodimers. Biochemistry. 2025 Aug 05; 64(15):3237-3247.
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O'Neal P, Washington K, Estes B, Chandran PL. A Facile and Versatile Platform for Cytosolic Delivery of Proteins in Nanoshells of DNA or RNA: Packaging Options in Multiplexed Delivery. Biomacromolecules. 2025 May 12; 26(5):3084-3103.
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Staniak M, Huang T, Figueroa-Navedo AM, Kohler D, Choi M, Hinkle T, Kleinheinz T, Blake R, Rose CM, Xu Y, Jean Beltran PM, Xue L, Bogdan M, Vitek O. Relative quantification of proteins and post-translational modifications in proteomic experiments with shared peptides: a weight-based approach. Bioinformatics. 2025 Mar 04; 41(3).
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Hu H, Hu W, Guo AD, Zhai L, Ma S, Nie HJ, Zhou BS, Liu T, Jia X, Liu X, Yao X, Tan M, Chen XH. Spatiotemporal and direct capturing global substrates of lysine-modifying enzymes in living cells. Nat Commun. 2024 Feb 17; 15(1):1465.
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Ortiz-Velez AN, Sukumaran J, Rouzbehani R, Kelley ST. AutoPhy: Automated phylogenetic identification of novel protein subfamilies. PLoS One. 2024; 19(1):e0291801.
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Ofosu-Boateng M, Shaik F, Choi S, Ekuban FA, Gebreyesus LH, Twum E, Nnamani DO, Yeyeodu ST, Yadak N, Collier DM, Gyamfi MA. High-fat diet induced obesity promotes inflammation, oxidative stress, and hepatotoxicity in female FVB/N mice. Biofactors. 2024 May-Jun; 50(3):572-591.
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Wu K, Karapetyan E, Schloss J, Vadgama J, Wu Y. Advancements in small molecule drug design: A structural perspective. Drug Discov Today. 2023 10; 28(10):103730.
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Conev A, Rigo MM, Devaurs D, Fonseca AF, Kalavadwala H, de Freitas MV, Clementi C, Zanatta G, Antunes DA, Kavraki LE. EnGens: a computational framework for generation and analysis of representative protein conformational ensembles. Brief Bioinform. 2023 07 20; 24(4).
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Cai T, Xie L, Zhang S, Chen M, He D, Badkul A, Liu Y, Namballa HK, Dorogan M, Harding WW, Mura C, Bourne PE, Xie L. End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. PLoS Comput Biol. 2023 01; 19(1):e1010851.