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Academic Journal

Prediction of DNA i-motifs via machine learning.

  • Authors : Yang B; Department of Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.; Guneri D

Subjects: DNA*/DNA*/DNA*/chemistry ; DNA*/DNA*/DNA*/genetics ; Machine Learning*

  • Source: Nucleic acids research [Nucleic Acids Res] 2024 Mar 21; Vol. 52 (5), pp. 2188-2197.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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Academic Journal

Multiple sequence alignment-based RNA language model and its application to structural inference.

  • Authors : Zhang Y; School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China.; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzen 518055, China.

Subjects: RNA*/RNA*/RNA*/chemistry ; Sequence Alignment* ; Machine Learning*

  • Source: Nucleic acids research [Nucleic Acids Res] 2024 Jan 11; Vol. 52 (1), pp. e3.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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Academic Journal

CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions.

  • Authors : Schubach M; Exploratory Diagnostic Sciences, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.; Maass T

Subjects: Machine Learning* ; Genetic Variation* ; Software*

  • Source: Nucleic acids research [Nucleic Acids Res] 2024 Jan 05; Vol. 52 (D1), pp. D1143-D1154.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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Academic Journal

Predicting functional consequences of SNPs on mRNA translation via machine learning.

  • Authors : Li Z; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, 925 Bloom Walk, Los Angeles, CA 90089, USA.; Chen L

Subjects: Genome-Wide Association Study* ; Polymorphism, Single Nucleotide* ; Protein Biosynthesis*

  • Source: Nucleic acids research [Nucleic Acids Res] 2023 Aug 25; Vol. 51 (15), pp. 7868-7881.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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Academic Journal

Machine learning for RNA 2D structure prediction benchmarked on experimental data.

  • Authors : Justyna M; Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland.; Antczak M

Subjects: RNA*/RNA*/RNA*/genetics ; RNA*/RNA*/RNA*/chemistry ; Machine Learning*

  • Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Academic Journal

Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning.

  • Authors : Acera Mateos P; EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, Australia.; The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, Australia.

Subjects: Transcriptome* ; Machine Learning*; RNA, Messenger

  • Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Academic Journal

FLAN: feature-wise latent additive neural models for biological applications.

  • Authors : Nguyen AP; Department of Mathematics, ETH Zürich, Rämistrasse 101, 8092 Zürich, Switzerland.; IBM Research Europe, Säumerstrasse 4, 8803 Rüschlikon, Zürich, Switzerland.

Subjects: Neural Networks, Computer* ; Machine Learning*; Protein Binding

  • Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Academic Journal

Machine learning on protein-protein interaction prediction: models, challenges and trends.

  • Authors : Tang T; School of Mordern Posts, Nanjing University of Posts and Telecommunications, 9 Wenyuan Rd, Qixia District, 210023 Jiangsu, China.; Zhang X

Subjects: Protein Interaction Mapping*/Protein Interaction Mapping*/Protein Interaction Mapping*/methods ; Machine Learning*; Proteins/Proteins/Proteins/metabolism

  • Source: Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Academic Journal

Expanding the flexibility of base editing for high-throughput genetic screens in bacteria.

  • Authors : Gawlitt S; Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany.; Collins SP

Subjects: Gene Editing*/Gene Editing*/Gene Editing*/methods ; CRISPR-Cas Systems* ; Escherichia coli*/Escherichia coli*/Escherichia coli*/genetics

  • Source: Nucleic acids research [Nucleic Acids Res] 2024 Apr 24; Vol. 52 (7), pp. 4079-4097.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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Academic Journal

Application of Supervised and Unsupervised Learning Approaches for Mapping Storage Conditions of Biopharmaceutical Product-A Case Study of Human Serum Albumin.

  • Authors : Lalchandani DS; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Guwahati (NIPER-G), Sila Katamur (Halugurisuk), Changsari, Guwahati, Assam 781101, India.; Paritala S

Subjects: Serum Albumin, Human* ; Unsupervised Machine Learning*; Humans

  • Source: Journal of chromatographic science [J Chromatogr Sci] 2023 May 30; Vol. 61 (5), pp. 461-470.Publisher: Oxford University Press Country of Publication: United States NLM ID: 0173225 Publication Model: Print Cited

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