Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Karim Abbasi"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background The Drug–Target Interaction (DTI) prediction uses a drug molecule and a protein sequence as inputs to predict the binding affinity value. In recent years, deep learning-based models have gotten more attention. These methods have
Externí odkaz:
https://doaj.org/article/c59e558514484158922891fa898c7aed
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307649 (2024)
Cancer treatment has become one of the biggest challenges in the world today. Different treatments are used against cancer; drug-based treatments have shown better results. On the other hand, designing new drugs for cancer is costly and time-consumin
Externí odkaz:
https://doaj.org/article/d55032306aeb47e7b48eb85ecc7a841a
Autor:
Siamak Salimy, Hossein Lanjanian, Karim Abbasi, Mahdieh Salimi, Ali Najafi, Leili Tapak, Ali Masoudi-Nejad
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e17653- (2023)
Precise prognostic classification of patients and identifying survival subgroups and their associated genes can be important clinical references when designing treatment strategies for cancer patients. Multi-omics and data integration techniques are
Externí odkaz:
https://doaj.org/article/a579ea9378754b6a8aee98554e56bb48
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Background Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming. Therefore, computational methods to predict dru
Externí odkaz:
https://doaj.org/article/f4585ff937a14a62bb894991cead25e1
Autor:
LEILA BAZRAFKAN, ALI ASGHAR HAYAT, KARIM ABBASI, AGHDAS BAZRAFKAN, AZADEH ROHALAMINI, MOZHGAN FARDID
Publikováno v:
Journal of Advances in Medical Education and Professionalism, Vol 5, Iss 1, Pp 42-48 (2017)
Introduction: The information literacy status and the use of information technology among students in the globalization age of course plans are very momentous. This study aimed to evaluate the information literacy status and use of information tec
Externí odkaz:
https://doaj.org/article/be29facdae0948f39d2527c186d2c411
Autor:
Parvez Karim Abbasi
Publikováno v:
The Making of Contemporary Maldives: Isolation, Dictatorship and Democracy. 2:1-19
The sustained economic growth of Bangladesh and its gradual integration into a globalized economy has influenced its foreign policy. The concerns are to increase merchandise exports; to ensure uninterrupted supply of raw materials, intermediate commo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26538e474ae44054a33fde4de3e0b23f
https://doi.org/10.52823/zoid9066
https://doi.org/10.52823/zoid9066
Autor:
Pooja Roy, Zahin Islam Rafa, Sharar Naiarin Haque, Tasniem Tasha, Soumyadipto B Arko, Harshita Agrawal, Md Ibrahim Razu, Anusha Parisapogu, Sadia Maisha, Mohammad A Siddique, Farhana Karim Abbasi, Nishat Shama, Supti Dev Nath, Ammy S Ghosh, Fahmina Quader
Publikováno v:
Cureus. 14(12)
Asthma, a chronic illness, is characterized by inflammation and airway constriction. Uncontrolled severe asthma is related to poor quality of life and increased utilization of health resources. Conventional treatments are associated with a significan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::debd8972fcb0dd02c0f00296dcd21349
https://pubmed.ncbi.nlm.nih.gov/36601189
https://pubmed.ncbi.nlm.nih.gov/36601189
BackgroundIn drug discovery, drug-target interaction (DTI) plays a crucial role. Identifying DTI in a wet-lab experiment is time-consuming, labor-intensive, and costly. Using reliable computational methods to predict DTI mitigates the enormous costs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ffa8f6ae94074bd22981a48be0b3bb
https://doi.org/10.21203/rs.3.rs-1881506/v1
https://doi.org/10.21203/rs.3.rs-1881506/v1
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming. Therefore, computational methods to predict drug–targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f7443b75efbc7f27641855995f1f10
https://doaj.org/article/f4585ff937a14a62bb894991cead25e1
https://doaj.org/article/f4585ff937a14a62bb894991cead25e1
Autor:
Karim Abbasi
Publikováno v:
Current Medicinal Chemistry. 28:2100-2113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1077d110de6cd58567d722b6d7538f6
https://doi.org/10.2174/1875533xmta5qnzu62
https://doi.org/10.2174/1875533xmta5qnzu62