يعرض 1 - 18 نتائج من 18 نتيجة بحث عن '"Phage Protein"', وقت الاستعلام: 0.43s تنقيح النتائج
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    Academic Journal
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    Academic Journal

    المساهمون: Doublier, S, Cirrincione, S, Scardaci, R, Botta, C, Lamberti, C, Giuseppe, F Di, Angelucci, S, Rantsiou, K, Cocolin, L, Pessione, E

    Relation: info:eu-repo/semantics/altIdentifier/pmid/35430488; volume:260; firstpage:1; lastpage:12; numberofpages:12; journal:MICROBIOLOGICAL RESEARCH; http://hdl.handle.net/2318/1869691; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85129382217; https://www.sciencedirect.com/science/article/pii/S0944501322000520

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    Academic Journal
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    Academic Journal
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    Dissertation/ Thesis

    المؤلفون: Puentes Mozo, Juanita

    المساهمون: García Botero, Camilo, Reyes Muñoz, Alejandro, Facultad de Ciencias::Biología Computacional y Ecología Microbiana

    وصف الملف: 22 páginas; application/pdf

    Relation: Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., et al. (2021). Accurate prediction of protein structures and interactions using a three-track neural network. Science, 373(6557), 871–876.; Bebis, G., & Georgiopoulos, M. (1994). Feed-forward neural networks. Ieee Potentials, 13(4), 27–31.; Bouras, G., Nepal, R., Houtak, G., Psaltis, A. J., Wormald, P.-J., & Vreugde, S. (2023). Pharokka: A fast scalable bacteriophage annotation tool. Bioinformatics, 39(1), btac776.; Brandes, N., Ofer, D., Peleg, Y., Rappoport, N., & Linial, M. (2022). Proteinbert: A universal deep-learning model of protein sequence and function. Bioinformatics, 38(8), 2102–2110.; Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877–1901.; Câmara, G. B., Coutinho, M. G., Silva, L. M. d., Gadelha, W. V. d. N., Torquato, M. F., Barbosa, R. d. M., & Fernandes, M. A. (2022). Convolutional neural network applied to sars-cov-2 sequence classification. Sensors, 22(15), 5730.; Choi, S. R., & Lee, M. (2023). Transformer architecture and attention mechanisms in genome data analysis: A comprehensive review. Biology, 12(7), 1033.; Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al. (2020). An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929.; Elnaggar, A., Heinzinger, M., Dallago, C., et al. (2020). Prottrans: Towards cracking the language of life’s code through 500 self-supervised deep learning and high performance computing [j]. IEEE Trans, 685.; Fang, Z., Feng, T., Zhou, H., & Chen, M. (2022). Deepvp: Identification and classification of phage virion proteins using deep learning. Gigascience, 11, giac076.; Fang, Z., & Zhou, H. (2021). Virionfinder: Identification of complete and partial prokaryote virus virion protein from virome data using the sequence and biochemical properties of amino acids. Frontiers in microbiology, 12, 615711.; Flamholz, Z. N., Biller, S. J., & Kelly, L. (2024). Large language models improve annotation of prokaryotic viral proteins. Nature Microbiology, 9(2), 537–549.; Hatfull, G. F., & Hendrix, R. W. (2011). Bacteriophages and their genomes. Current opinion in virology, 1(4), 298–303.; Heinzinger, M., Weissenow, K., Sanchez, J. G., Henkel, A., Mirdita, M., Steinegger, M., & Rost, B. (2023). Bilingual language model for protein sequence and structure. bioRxiv, 2023–07.; Jain, P., & Hirst, J. D. (2010). Automatic structure classification of small proteins using random forest. BMC bioinformatics, 11, 1–14.; Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021). Highly accurate protein structure prediction with alphafold. nature, 596(7873), 583–589.; Li, L. H., Yatskar, M., Yin, D., Hsieh, C.-J., & Chang, K.-W. (2019). Visualbert: A simple and performant baseline for vision and language. arXiv preprint arXiv:1908.03557.; McNair, K., Zhou, C., Dinsdale, E. A., Souza, B., & Edwards, R. A. (2019). Phanotate: A novel approach to gene identification in phage genomes. Bioinformatics, 35(22), 4537–4542.; Modak, S., Mehta, S., Sehgal, D., & Valadi, J. (2019). Application of support vector machines in viral biology. Global Virology III: Virology in the 21st Century, 361–403.; Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2021). Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proceedings of the National Academy of Sciences, 118(15), e2016239118.; Shen, Y., Chen, Z., Mamalakis, M., He, L., Xia, H., Li, T., Su, Y., He, J., & Wang, Y. G. (2024). A fine-tuning dataset and benchmark for large language models for protein understanding. arXiv preprint arXiv:2406.05540.; Smug, B. J., Szczepaniak, K., Rocha, E. P., Dunin-Horkawicz, S., & Mostowy, R. J. (2023). Ongoing shuffling of protein fragments diversifies core viral functions linked to interactions with bacterial hosts. Nature Communications, 14(1), 7460.; Terzian, P., Olo Ndela, E., Galiez, C., Lossouarn, J., Pérez Bucio, R. E., Mom, R., Toussaint, A., Petit, M.-A., & Enault, F. (2021). Phrog: Families of prokaryotic virus proteins clustered using remote homology. NAR Genomics and Bioinformatics, 3(3), lqab067.; Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al. (2023). Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288.; Van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L., Söding, J., & Steinegger, M. (2024). Fast and accurate protein structure search with foldseek. Nature biotechnology, 42(2), 243–246.; Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.; https://hdl.handle.net/1992/74920; instname:Universidad de los Andes; reponame:Repositorio Institucional Séneca; repourl:https://repositorio.uniandes.edu.co/

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    Academic Journal

    المصدر: Proceedings of the National Academy of Sciences of the United States of America, 1976 Nov 01. 73(11), 3979-3983.

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    Academic Journal
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    Academic Journal

    المساهمون: MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité de recherche Génétique Microbienne (UGM), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Microbienne, Université Joseph Fourier - Grenoble 1 (UJF), Unité de génétique microbienne

    المصدر: ISSN: 0378-1097.

    Relation: info:eu-repo/semantics/altIdentifier/pmid/12351244; PUBMED: 12351244

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