Search Results

prPred-DRLF: Plant R protein predictor using deep representation learning features.

• Authors : Wang Y; School of Electronic and Communication Engineering, Shenzhen Polytechnic, Shenzhen, China.; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Subjects: Machine Learning* ; Proteins*

• Source: Proteomics [Proteomics] 2022 Jan; Vol. 22 (1-2), pp. e2100161. Date of Electronic Publication: 2021 Oct 14.Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101092707 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-9861

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CSI-LSTM: a web server to predict protein secondary structure using bidirectional long short term memory and NMR chemical shifts.

• Authors : Miao Z; Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China.; Wang Q

Subjects: Memory, Short-Term* ; Proteins*; Neural Networks, Computer

• Source: Journal of biomolecular NMR [J Biomol NMR] 2021 Dec; Vol. 75 (10-12), pp. 393-400. Date of Electronic Publication: 2021 Sep 12.Publisher: Springer Country of Publication: Netherlands NLM ID: 9110829 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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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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RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins.

• Authors : Liu Y; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.; Wang X

Subjects: Intrinsically Disordered Proteins/Intrinsically Disordered Proteins/Intrinsically Disordered Proteins/*analysis ; Proteins/Proteins/Proteins/*chemistry; Algorithms

• Source: Briefings in bioinformatics [Brief Bioinform] 2021 Mar 22; Vol. 22 (2), pp. 2000-2011.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Variable Length Character N-Gram Embedding of Protein Sequences for Secondary Structure Prediction.

• Authors : Sharma AK; Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India.; Srivastava R

Subjects: Databases, Protein* ; Deep Learning* ; Sequence Analysis, Protein*

• Source: Protein and peptide letters [Protein Pept Lett] 2021; Vol. 28 (5), pp. 501-507.Publisher: Bentham Science Publishers Country of Publication: Netherlands NLM ID: 9441434 Publication Model: Print Cited Medium: Internet ISSN:

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New Information Technology Findings from Affiliated to Manonmaniam Sundaranar University Published (Deep attention based Proto-oncogene prediction and Oncogene transition possibility detection using moments and position based amino acid features).

Subjects: INFORMATION technology; AMINO acids; ONCOGENES

• Source: Cancer Weekly; 2024, p1028-1028, 1p

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DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.

• Authors : Liu B; School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China.; Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China.

Subjects: Deep Learning* ; Support Vector Machine*; Proteins/Proteins/Proteins/*chemistry

• Source: Briefings in bioinformatics [Brief Bioinform] 2020 Sep 25; Vol. 21 (5), pp. 1733-1741.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

• Authors : Thapa N; Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, NC, USA.; Chaudhari M

Subjects: Deep Learning* ; Protein Processing, Post-Translational*; Proteins/Proteins/Proteins/*metabolism

• Source: BMC bioinformatics [BMC Bioinformatics] 2020 Apr 23; Vol. 21 (Suppl 3), pp. 63. Date of Electronic Publication: 2020 Apr 23.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction.

• Authors : Guo Y; School of Information Science and Engineering, Yunnan University, Kunming, 650091, China.; Li W

Subjects: Algorithms* ; Deep Learning* ; Models, Theoretical*

• Source: BMC bioinformatics [BMC Bioinformatics] 2019 Jun 17; Vol. 20 (1), pp. 341. Date of Electronic Publication: 2019 Jun 17.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Early life stress induces sex-specific changes in behavior and parallel locus coeruleus neuron excitability.

Subjects: LOCUS coeruleus; ACTION potentials; NEURONS

• Source: Mental Health Weekly Digest; 12/22/2023, p1520-1520, 1p

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