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Computer aided prediction and identification of potential e..:
Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
;
Tuhin ali, Mohammad
;
Morshed, Mohammed Monzur
...
Bioinformation. 10 (2014) 8 - p. 533-538 , 2014
Link:
https://doi.org/10.6026/97320630010533
RT Journal T1
Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV
UL https://suche.suub.uni-bremen.de/peid=cr-10.6026_97320630010533&Exemplar=1&LAN=DE A1 Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh A1 Tuhin ali, Mohammad A1 Morshed, Mohammed Monzur A1 Musa, Md. Abu A1 Musa, Md. Abu A1 Kibria, Md Golam A1 Uddin, Md Jashim A1 Ashfaq Khan, Md. Anik A1 Hasan, Shihab A1 Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh A1 Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh A1 Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh A1 Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh A1 Laboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh A1 Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet, Bangladesh A1 Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland, Australia PB Biomedical Informatics YR 2014 SN 0973-8894 SN 0973-2063 JF Bioinformation VO 10 IS 8 SP 533 OP 538 LK http://dx.doi.org/https://doi.org/10.6026/97320630010533 DO https://doi.org/10.6026/97320630010533 SF ELIB - SuUB Bremen
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