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A Framework for Identifying Essential Proteins with Hybridizing Deep Neural Network and Ordinary Least Squares.

• Authors : Zou, Sai; Hu, Yunbin; Yang, Wenya

Subjects: PROTEOMICS; GENE expression profiling; BIOLOGICAL evolution

• Source: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 15, p8613, 20p

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Cross-modality and self-supervised protein embedding for compound–protein affinity and contact prediction.

• Authors : You, Yuning; Shen, Yang

Subjects: RECURRENT neural networks; DRUG discovery; AMINO acid sequence

• Source: Bioinformatics; 2022 Supplement, Vol. 38, pii68-ii74, 7p

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Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.

• Authors : Fan XQ; College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China.; Hu J

Subjects: Deep Learning*; Computational Biology/Computational Biology/Computational Biology/*methods ; Proteins/Proteins/Proteins/*chemistry

• Source: Analytical biochemistry [Anal Biochem] 2021 Oct 15; Vol. 631, pp. 114358. Date of Electronic Publication: 2021 Aug 31.Publisher: Elsevier Country of Publication: United States NLM ID: 0370535 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.

• Authors : Wang, Siguo; He, Ying; Chen, Zhanheng

Subjects: CONVOLUTIONAL neural networks; RECURRENT neural networks; BINDING sites

• Source: IEEE Journal of Biomedical & Health Informatics; Apr2022, Vol. 26 Issue 4, p1883-1890, 8p

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learnMSA: learning and aligning large protein families.

• Authors : Becker, Felix; Stanke, Mario

Subjects: STATISTICAL learning; AUTOMATIC differentiation; MARKOV processes

• Source: GigaScience; 2022, Vol. 11, p1-14, 14p

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A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence.

• Authors : Yu CH; Laboratory for Atomistic and Molecular Mechanics (LAMM), Department of Civil and Environmental Engineering , Massachusetts Institute of Technology , 77 Massachusetts Avenue 1-290 , Cambridge , Massachusetts 02139 , United States.; Qin Z

Subjects: Artificial Intelligence* ; Sound*; Proteins/Proteins/Proteins/*chemical synthesis

• Source: ACS nano [ACS Nano] 2019 Jul 23; Vol. 13 (7), pp. 7471-7482. Date of Electronic Publication: 2019 Jun 26.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101313589 Publication Model: Print-Electronic Cited Medium: Internet

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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

• Authors : Lu H; School of Computer Science and Technology, Dalian University of Technology, 116024 Dalian, China. Electronic address: .; Li L

Subjects: Databases, Protein* ; Deep Learning* ; Neural Networks, Computer*

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2019 Jul; Vol. 176, pp. 61-68. Date of Electronic Publication: 2019 Apr 30.Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks.

• Authors : Guo Y; School of Information Science and Engineering, Yunnan University, No. 2 North Cuihu Road, Kunming 650091, P. R. China.; Wang B

Subjects: Neural Networks, Computer*; Computational Biology/Computational Biology/Computational Biology/*methods ; Proteins/Proteins/Proteins/*chemistry

• Source: Journal of bioinformatics and computational biology [J Bioinform Comput Biol] 2018 Oct; Vol. 16 (5), pp. 1850021.Publisher: World Scientific Publishing Europe Ltd Country of Publication: Singapore NLM ID: 101187344 Publication Model: Print Cited Medium: Internet

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Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information.

• Authors : An, Ji-Yong; Zhou, Yong; Yan, Zi-Ji

Subjects: NERVE tissue proteins; RECURRENT neural networks; WEB servers

• Source: Evolutionary Bioinformatics; 5/28/2020, Vol. 16, p1-9, 9p

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"Methods And Systems For Improved Major Histocompatibility Complex (Mhc)-Peptide Binding Prediction Of Neoepitopes Using A Recurrent Neural Network Encoder And Attention Weighting" in Patent Application Approval Process (USPTO 20230274796).

Subjects: RECURRENT neural networks; MAJOR histocompatibility complex; T cell receptors

• Source: Immunotherapy Weekly; 9/19/2023, p2797-2797, 1p

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