Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fereshteh Mataeimoghadam"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Motivation Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods. Usually the same deep learning model is used in making prediction for all residues regardless of the ca
Externí odkaz:
https://doaj.org/article/24059e088c7a458ba12fd15e20cd327a
Publikováno v:
IEEE Access, Vol 10, Pp 54991-55001 (2022)
Protein structure prediction (PSP) is essential for drug discovery. PSP involves minimising an unknown scoring function over an astronomical search space. PSP has achieved significant progress recently via end-to-end deep learning models that require
Externí odkaz:
https://doaj.org/article/1737238298914f98adcf5a601b182615
Autor:
Fereshteh Mataeimoghadam, M. A. Hakim Newton, Abdollah Dehzangi, Abdul Karim, B. Jayaram, Shoba Ranganathan, Abdul Sattar
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Externí odkaz:
https://doaj.org/article/06964ec790374415b63a8299440595fd
Autor:
Fereshteh Mataeimoghadam, Abdul Karim, M. A. Hakim Newton, Abdul Sattar, Abdollah Dehzangi, Bhyravabhotla Jayaram, Shoba Ranganathan
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports
Protein structure prediction is a grand challenge. Prediction of protein structures via the representations using backbone dihedral angles has recently achieved significant progress along with the on-going surge of deep neural network (DNN) research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75901a2d308ef1f85e89895487e8568b
http://link.springer.com/article/10.1038/s41598-020-76317-6
http://link.springer.com/article/10.1038/s41598-020-76317-6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030975456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9521df44184d0eec10bbf9e5fa413a
https://doi.org/10.1007/978-3-030-97546-3_13
https://doi.org/10.1007/978-3-030-97546-3_13
Publikováno v:
Computational Biology and Chemistry. 101:107773
Protein structure prediction (PSP) is a crucial issue in Bioinformatics. PSP has its important use in many vital research areas that include drug discovery. One of the important intermediate steps in PSP is predicting a protein's beta-sheet structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31c5e6705e8d382e32c9bc3e036e2c1f
https://doi.org/10.1016/j.compbiolchem.2022.107773
https://doi.org/10.1016/j.compbiolchem.2022.107773
Autor:
Abdul Sattar, Shoba Ranganathan, Fereshteh Mataeimoghadam, M. A. Hakim Newton, Abdul Karim, Abdollah Dehzangi, Bhyravabhotla Jayaram
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Protein structure prediction is a grand challenge. Prediction of protein structures via the representations using backbone dihedral angles has recently achieved significant progress along with the on-going surge of deep neural network (DNN) research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce0e32bb5be6e6bbf7371df7702a9b7
http://europepmc.org/articles/PMC8421352
http://europepmc.org/articles/PMC8421352
Publikováno v:
PRICAI 2021: Trends in Artificial Intelligence ISBN: 9783030891879
PRICAI (1)
PRICAI (1)
Protein Structure Prediction (PSP) is one of the most challenging problems in bioinformatics and biomedicine. PSP has obtained significant improvement lately. This is from the growth of the protein data bank (PDB) and the use of Deep Neural Network (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa2ba56118e0d3e90b6a0c3a46cf115
https://doi.org/10.1007/978-3-030-89188-6_18
https://doi.org/10.1007/978-3-030-89188-6_18