نتائج البحث - "secondary structure prediction"

1

Propensities of Some Amino Acid Pairings in alpha-Helices Vary with Length

المؤلفون: Cevdet Nacar

المساهمون: NACAR C.

مصطلحات موضوعية: Protein Conformation, alpha-Helical, Cancer Research, Aging, INFORMATION, ACCURACY, Clinical Biochemistry, Genel Biyokimya, Genetik ve Moleküler Biyoloji, ALIGNED SEQUENCES, Biochemistry, Protein Structure, Secondary, Analytical Chemistry, Residue pairing, Structural Biology, BİYOKİMYA VE MOLEKÜLER BİYOLOJİ, Biyokimya, Yaşlanma, Drug Discovery, Helix stability, Amino Acids, İlaç Keşfi, Moleküler Biyoloji, Temel Bilimler, Life Sciences, PEPTIDES, SUBSTITUTION, Biyokimya, Genetik ve Moleküler Biyoloji (çeşitli), MOLECULAR BIOLOGY & GENETICS, STRUCTURE PREDICTION, Natural Sciences, BIOCHEMISTRY & MOLECULAR BIOLOGY, Sitogenetik, Secondary structure prediction, Residue propensity, Life Sciences (LIFE), Bioengineering, Molecular Biology and Genetics, Biochemistry, Genetics and Molecular Biology (miscellaneous), General Biochemistry, Genetics and Molecular Biology, ALANINE, PROTEIN SECONDARY STRUCTURE, Yaşam Bilimleri, Amino Acid Sequence, Cytogenetic, ALGORITHM, Molecular Biology, Moleküler Biyoloji ve Genetik, STABILITY, Yapısal Biyoloji, Organic Chemistry, Peptide Fragments, Klinik Biyokimya, Yaşam Bilimleri (LIFE), Kanser Araştırmaları

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242b0645b5c9c4b8a283e3bd4c88906fTest
https://hdl.handle.net/11424/282409Test

2

Protein Secondary Structure Prediction Based on Generative Confrontation and Convolutional Neural Network

المؤلفون: Yawu Zhao, Hualan Zhang, Yihui Liu

المصدر: IEEE Access, Vol 8, Pp 199171-199178 (2020)

مصطلحات موضوعية: General Computer Science, Adversarial network, Bioinformatics, Computer science, Feature extraction, convolutional neural network, Protein secondary structure prediction, Convolutional neural network, Field (computer science), 03 medical and health sciences, 0302 clinical medicine, General Materials Science, protein secondary structure prediction, Protein secondary structure, 030304 developmental biology, 0303 health sciences, business.industry, generative adversarial network, General Engineering, Pattern recognition, 030220 oncology & carcinogenesis, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, lcsh:TK1-9971, Generative grammar

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5be1cd5ccced50420d0dff5da2dc7e00Test
https://doi.org/10.1109/access.2020.3035208Test

3

Sequence–function correlation of the transmembrane domains in NS4B of HCV using a computational approach

المؤلفون: Ta-Chou Huang, Wolfgang B. Fischer

المصدر: AIMS Biophysics, Vol 8, Iss 2, Pp 165-181 (2021)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e2fe5bf311cf133303a6ea5ce3cb0eTest
https://www.aimspress.com/article/doi/10.3934/biophy.2021013?viewType=HTMLTest

4

Protein molecular defect detection method based on a neural network algorithm

المؤلفون: Somayeh Kahrizi, Meiqing Zheng

المصدر: Cellular and Molecular Biology. 66:76-83

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043430922f4c16e372cc1d7f1c8b6954Test
https://doi.org/10.14715/cmb/2020.66.7.13Test

5

Combining Deep Neural Networks for Protein Secondary Structure Prediction

المؤلفون: Zang Mujun, Zhou Shusen, Tong Liu, Zou Hailin, Liu Chanjuan

المصدر: IEEE Access, Vol 8, Pp 84362-84370 (2020)

مصطلحات موضوعية: General Computer Science, business.industry, Computer science, General Engineering, Pattern recognition, Deep learning, prediction, Protein secondary structure prediction, supervised learning, Deep neural networks, General Materials Science, Artificial intelligence, protein secondary structure, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69800bb440d2a4395f8de0fe6bc0e1f3Test
https://ieeexplore.ieee.org/document/9085378Test/

6

Prediction of RNA secondary structure including pseudoknots for long sequences

المؤلفون: Kengo Sato, Yuki Kato

المصدر: Briefings in Bioinformatics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d54c8d302e3c7195ee4b857f4cea2101Test
https://doi.org/10.1093/bib/bbab395Test

7

Multimodal Optimization Evolutionary Algorithm for RNA Secondary Structure Prediction

المؤلفون: Yunfei Hu, Kai Zhang

المصدر: BIBE

مصطلحات موضوعية: Computer science, GRASP, Evolutionary algorithm, RNA, Pseudoknot, Algorithm, Protein secondary structure, Rna secondary structure prediction, Nucleic acid secondary structure, Minimum free energy

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::3c9a730f0ab259e2827d1c7afc00ab38Test
https://doi.org/10.1145/3469678.3469714Test

8

A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction

المؤلفون: Wei-Cheng Lo, Teng Ruei Chen, Yen-Cheng Lin, Yu-Wei Huang, Sheng Hung Juan

المصدر: PLoS ONE
PLoS ONE, Vol 16, Iss 7, p e0255076 (2021)

مصطلحات موضوعية: Protein Structure Comparison, Computer science, Protein Structure Prediction, computer.software_genre, Protein secondary structure prediction, Biochemistry, Protein Structure, Secondary, Machine Learning, Matrix (mathematics), Database and Informatics Methods, Mathematical and Statistical Techniques, Macromolecular Structure Analysis, Protein secondary structure, 0303 health sciences, Multidisciplinary, Applied Mathematics, Simulation and Modeling, 030302 biochemistry & molecular biology, Statistics, Physical Sciences, Medicine, Structural Proteins, Sequence Analysis, Algorithms, Research Article, Web server, Protein Structure, Computer and Information Sciences, Bioinformatics, Science, Machine learning, Research and Analysis Methods, Set (abstract data type), 03 medical and health sciences, Machine Learning Algorithms, Position (vector), Artificial Intelligence, Position-Specific Scoring Matrices, Statistical Methods, Molecular Biology, 030304 developmental biology, business.industry, Biology and Life Sciences, Proteins, Computational Biology, Artificial intelligence, business, computer, Sequence Alignment, Mathematics, Forecasting

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::177280c87224aaf1ecf0d530b8c7c28fTest
http://europepmc.org/articles/PMC8318245Test

9

IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

المؤلفون: Zafer Aydin, Mostafa Sabzekar, Yasin Gormez

المصدر: ProteinsREFERENCES. 89(10)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac3cb8ec8c2524074bae1f8556e8df2aTest
https://pubmed.ncbi.nlm.nih.gov/35506433Test

10

Empirical Study of Protein Feature Representation on Deep Belief Networks Trained with Small Data for Secondary Structure Prediction

المؤلفون: Shamima Rashid

مصطلحات موضوعية: Small data, Computer science, business.industry, Representation (systemics), Protein secondary structure prediction, Machine learning, computer.software_genre, Deep belief network, Empirical research, Protein Feature, Artificial intelligence, business, Protein secondary structure, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70bd5f59e3ad0f468b760f3943ac2f60Test
https://doi.org/10.36227/techrxiv.13663583.v1Test

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