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Wyszukujesz frazę "Nisar, Imran" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Emergence of a multidrug-resistant and virulent Streptococcus pneumoniae lineage mediates serotype replacement after PCV13 : an international whole-genome sequencing study
Autorzy:
Croucher, Nicholas
Skoczyńska, Anna
Egorova, Ekaterina
Wolter, Nicole
Turner, Paul
Moïsi, Jennifer
Devi Sekaran, Shamala
Moiane, Benild
Hawkins, Paulina A.
von Gottberg, Anne
Pollard, Sir Andrew J.
Dagan, Ron
Doiphode, Sanjay
Davydov, Alexander
Law, Pierra
Ochoa, Theresa
Nzenze, Susan
Muñoz-Almagro, Carmen
Voropaeva, Elena
Aanensen, David
Diawara, Idrissa
Bentley, Stephen D.
Lehmann, Deborah
De Gouveia, Linda
Verani, Jennifer
Everett, Dean
Lees, John
Tientcheu, Peggy-Estelle
Breiman, Robert F.
Belman, Sophie
Lo, Stephanie W.
Ip, Margaret
Kandasamy, Rama
Shakoor, Sadia
N Nair Thulasee Bhai, Jyothish
Mucavele, Helio
Gagetti, Paula
Clarke, Stuart
du Plessis, Mignon
Mirza, Shaper
Eberechi Akpaka, Patrick
Belabbès, Houria
Veeraraghavan, Balaji
Bentley, Leon
Titov, Leonid
Sigauque, Betuel
Givon-Lavi, Noga
Cornick, Jennifer E.
Nisar, Imran
Beall, Bernard
Benisty, Rachel
McGee, Lesley
Kwambana-Adams, Brenda
Keenan, Jeremy
Bojang, Ebrima
Srifuengfung, Somporn
Obaro, Stephen K.
Mostowy, Rafał
Paragi, Metka
Hryniewicz, Waleria
Mellor, Kate
Madhi, Shabir
Faccone, Diego
Klugman, Keith P.
Kumar, Narender
Varon, Emmanuelle
Elmdaghri, Naima
Grassi Almeida, Samanta Cristine
Ndlangisa, Kedibone
Maguire, Alison
Nagaraj, Geetha
Kiran, Anmol
Köseoglu Eser, Özgen
Sadowy, Ewa
Zhao, Chunjiang
Alaerts, Maaike
Rodgers, Gail
Ford, Rebecca L.
Urban, Yulia
Cohen, Robert
Hasanuzzaman, Md
Wang, Hui
Ho, Pak-Leung
Ravikumar, K. L.
Brooks, Abdullah
Antonio, Martin
Corso, Alejandra
Gladstone, Rebecca A.
Sampane-Donkor, Eric
Bigogo, Godfrey
Malaker, Roly
Ali, Mushal
Alonso, Alba Redin
Zerouali, Khalid
Nurse-Lucas, Michele
Kastrin, Tamara
Foster-Nyarko, Ebenezer
Carter, Philip E.
Porat, Nurit
Saha, Samir K.
de Cunto Brandileone, Maria Cristina
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Prioritizing and modelling of putative drug target proteins of Candida albicans by systems biology approach
Autorzy:
Ismail, Tariq
Fatima, Nighat
Muhammad, Syed
Zaidi, Syed
Rehman, Nisar
Hussain, Izhar
Tariq, Najam us
Amirzada, Imran
Mannan, Abdul
Tematy:
Candida albicans
drug target identification
protein modeling
Pokaż więcej
Wydawca:
Polskie Towarzystwo Biochemiczne
Powiązania:
https://bibliotekanauki.pl/articles/1038391.pdf  Link otwiera się w nowym oknie
Opis:
Candida albicans (Candida albicans) is one of the major sources of nosocomial infections in humans which may prove fatal in 30% of cases. The hospital acquired infection is very difficult to treat affectively due to the presence of drug resistant pathogenic strains, therefore there is a need to find alternative drug targets to cure this infection. In silico and computational level frame work was used to prioritize and establish antifungal drug targets of Candida albicans. The identification of putative drug targets was based on acquiring 5090 completely annotated genes of Candida albicans from available databases which were categorized into essential and non-essential genes. The result indicated that 9% of proteins were essential and could become potential candidates for intervention which might result in pathogen eradication. We studied cluster of orthologs and the subtractive genomic analysis of these essential proteins against human genome was made as a reference to minimize the side effects. It was seen that 14% of Candida albicans proteins were evolutionary related to the human proteins while 86% are non-human homologs. In the next step of compatible drug target selections, the non-human homologs were sequentially compared to the human microbiome data to minimize the potential effects against gut flora which accumulated to 38% of the essential genome. The sub-cellular localization of these candidate proteins in fungal cellular systems indicated that 80% of them are cytoplasmic, 10% are mitochondrial and the remaining 10% are associated with the cell wall. The role of these non-human and non-gut flora putative target proteins in Candida albicans biological pathways was studied. Due to their integrated and critical role in Candida albicans replication cycle, four proteins were selected for molecular modeling. For drug designing and development, four high quality and reliable protein models with more than 70% sequence identity were constructed. These proteins are used for the docking studies of the known and new ligands (unpublished data). Our study will be an effective framework for drug target identifications of pathogenic microbial strains and development of new therapies against the infections they cause.
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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