Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ozlem Erdas"'
Autor:
Ozge Oztimur Karadag, Ozlem Erdas
Publikováno v:
Journal of Intelligent Systems with Applications. :136-139
In the traditional image processing approaches, first low-level image features are extracted and then they are sent to a classifier or a recognizer for further processing. While the traditional image processing techniques employ this step-by-step app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ed5ce3162e0329c247f0706d44650c
https://doi.org/10.54856/jiswa.201912083
https://doi.org/10.54856/jiswa.201912083
Autor:
Ferda Nur Alpaslan, Erdem Buyukbingol, Ozlem Erdas-Cicek, A. Selen Gurkan-Alp, Ali Osman Atac
Publikováno v:
Journal of Chemical Information and Modeling. 59:4654-4662
Alpaslan, Ferda Nur/0000-0002-9806-1543; Erdas Cicek, Ozlem/0000-0003-4019-7744 WOS: 000500038700016 PubMed: 31596082 Understanding the interaction between drug molecules and proteins is one of the main challenges in drug design. Several tools have b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b23af5b5dabaff22737865e5dd7c964
https://doi.org/10.1021/acs.jcim.9b00206
https://doi.org/10.1021/acs.jcim.9b00206
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 8 No. 2 (2020); 116-120
In the last decade, deep learning methods have become the key solution for various machine learning problems. One major drawback of deep learning methods is that they require large datasets to have a good generalization performance. Researchers propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8617ace5ba5f9330781243659fdec28e
https://www.ijisae.org/index.php/IJISAE/article/view/1101
https://www.ijisae.org/index.php/IJISAE/article/view/1101
2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 -- 31 October 2019 through 2 November 2019----156545 Deep Learning algorithms have almost become a key standard for majority of vision and machine learning problems. Despi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0d239110560c01850da0d41d3a80c48
https://hdl.handle.net/20.500.12868/653
https://hdl.handle.net/20.500.12868/653
Publikováno v:
Journal of Chemometrics. 27:155-164
Analyses of known protein–ligand interactions play an important role in designing novel and efficient drugs, contributing to drug discovery and development. Recently, machine learning methods have proven useful in the design of novel drugs, which u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::159bb43281739484543ffee5e018c7dd
https://doi.org/10.1002/cem.2503
https://doi.org/10.1002/cem.2503
Publikováno v:
Journal of enzyme inhibition and medicinal chemistry. 30(5)
The aim of this study is to propose an improved computational methodology, which is called Compressed Images for Affinity Prediction-2 (CIFAP-2) to predict binding affinities of structurally related protein–ligand complexes. CIFAP-2 method is estab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f8686c178f26675fe6c5a4b45db5854
https://pubmed.ncbi.nlm.nih.gov/25578823
https://pubmed.ncbi.nlm.nih.gov/25578823
Publikováno v:
Journal of Chemometrics.
Machine learning methods have always been promising in the science and engineering fields, and the use of these methods in chemistry and drug design has advanced especially since the 1990s. In this study, molecular electrostatic potential (MEP) surfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90e2cdc80c9dc92e148d50299320a64a
https://doi.org/10.1002/cem.1265
https://doi.org/10.1002/cem.1265