Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Gianluca, Pollastri"'
Autor:
Maryam Gillani, Gianluca Pollastri
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1796-1807 (2024)
Protein subcellular localization prediction is of great significance in bioinformatics and biological research. Most of the proteins do not have experimentally determined localization information, computational prediction methods and tools have been
Externí odkaz:
https://doaj.org/article/5f4da4074e544f2c98a13bccd0b09829
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3024-3031 (2023)
Motivation: One of the most relevant mechanisms involved in the determination of chromatin structure is the formation of structural loops that are also related with the conservation of chromatin states. Many of these loops are stabilized by CCCTC-bin
Externí odkaz:
https://doaj.org/article/be0b18a033834e4e9d09c9f2fd3d3a46
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 1301-1310 (2020)
Protein Structure Prediction is a central topic in Structural Bioinformatics. Since the ’60s statistical methods, followed by increasingly complex Machine Learning and recently Deep Learning methods, have been employed to predict protein structural
Externí odkaz:
https://doaj.org/article/5a600457ac9941fd81b31fd177141961
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 2281-2289 (2020)
The use of evolutionary profiles to predict protein secondary structure, as well as other protein structural features, has been standard practice since the 1990s. Using profiles in the input of such predictors, in place or in addition to the sequence
Externí odkaz:
https://doaj.org/article/e22627988058400796843c5253161dec
Publikováno v:
Royal Society Open Science, Vol 7, Iss 1 (2020)
Background: The polyproline II helix (PPIIH) is an extended protein left-handed secondary structure that usually but not necessarily involves prolines. Short PPIIHs are frequently, but not exclusively, found in disordered protein regions, where they
Externí odkaz:
https://doaj.org/article/f3762a63f4d846659c9315b337e7db05
Autor:
Federico Fogolari, Giuseppe Serra, Saida Saad Mohamed Mahmoud, Beatrice Portelli, Giovanni D'Agostino, Gianluca Pollastri
Publikováno v:
Current Bioinformatics. 18
Background: Over the last several decades, predicting protein structures from amino acid sequences has been a core task in bioinformatics. Nowadays, the most successful methods employ multiple sequence alignments and can predict the structure with ex
Autor:
Leandro Murgas Saavedra, Gianluca Pollastri, Erick Riquelme, Mauricio Sáez, Alberto J.M. Martin
Structural changes of chromatin modulate access to DNA for all proteins involved in transcription. These changes are linked to variations in epigenetic marks that allow to classify chromatin in different functional states depending on the pattern of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c4c8d2a1314f8469065fc0620fb34d0
https://doi.org/10.1101/2023.01.12.523636
https://doi.org/10.1101/2023.01.12.523636
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 89:1233-1239
The knowledge of the subcellular location of a protein is a valuable source of information in genomics, drug design, and various other theoretical and analytical perspectives of bioinformatics. Due to the expensive and time-consuming nature of experi
Autor:
Jeremy C. Simpson, Gianluca Pollastri, Manaz Kaleel, Xuanming Feng, Yandan Zheng, Catherine Mooney, Jialiang Chen
Publikováno v:
Bioinformatics. 36:3343-3349
Motivation The subcellular location of a protein can provide useful information for protein function prediction and drug design. Experimentally determining the subcellular location of a protein is an expensive and time-consuming task. Therefore, vari
Autor:
Ian, Walsh, Dmytro, Fishman, Dario, Garcia-Gasulla, Tiina, Titma, Gianluca, Pollastri, Jennifer, Harrow, Fotis E, Psomopoulos, Federico, Zambelli
Publikováno v:
Nature methods. 18(10)