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Full-Text Articles in Bioinformatics
The Complexity Of Molecular Interactions And Bindings Between Cyclic Peptide And Inhibit Polymerase A And B1 (Pac-Pb1n) H1n1, Arli A. Parikesit, Harry Noviardi Hn, Djati Kerami Dk, Usman Sumo Friend Tambunan Usft
The Complexity Of Molecular Interactions And Bindings Between Cyclic Peptide And Inhibit Polymerase A And B1 (Pac-Pb1n) H1n1, Arli A. Parikesit, Harry Noviardi Hn, Djati Kerami Dk, Usman Sumo Friend Tambunan Usft
Arli A Parikesit
The influenza/H1N1 virus has caused hazard in the public health of many countries. Hence, existing influenza drugs could not cope with H1N1 infection due to the high mutation rate of the virus. In this respect, new method to block the virus was devised. The polymerase pac-pb1n enzyme is responsible for the replication of H1N1 virus. Thus, novel inhibitors were developed to ward off the functionality of the enzyme. In this research, cyclic peptides has been chosen to inhibit PAc-PB1n due to its proven stability in reaching the drug target. Thus, computational method for elucidating the molecular interaction between cyclic peptides …
The In Silico Molecular Interaction Of Organoboron Compounds As Curative Measure Toward Cervical Cancer, Ridla Bakri Rb, Arli A. Parikesit, Cipta Prio Satryanto Cps, Djati Kerami Dk, Usman Sumo Friend Tambunan Usft
The In Silico Molecular Interaction Of Organoboron Compounds As Curative Measure Toward Cervical Cancer, Ridla Bakri Rb, Arli A. Parikesit, Cipta Prio Satryanto Cps, Djati Kerami Dk, Usman Sumo Friend Tambunan Usft
Arli A Parikesit
No abstract provided.
Biokimia Dan Teknologi Farmasi: Desain Obat Dan Vaksin Dengan Pendekatan Biomedis Molekular, Usman Sumo Friend Tambunan Usft, Arli A. Parikesit Aap
Biokimia Dan Teknologi Farmasi: Desain Obat Dan Vaksin Dengan Pendekatan Biomedis Molekular, Usman Sumo Friend Tambunan Usft, Arli A. Parikesit Aap
Arli A Parikesit
No abstract provided.
Pitfalls Of Ascertainment Biases In Genome Annotations—Computing Comparable Protein Domain Distributions In Eukarya, Arli A. Parikesit, Lydia Steiner, Peter F. Stadler, Sonja J. Prohaska
Pitfalls Of Ascertainment Biases In Genome Annotations—Computing Comparable Protein Domain Distributions In Eukarya, Arli A. Parikesit, Lydia Steiner, Peter F. Stadler, Sonja J. Prohaska
Arli A Parikesit
Most investigations into the large-scale patterns of protein evolution are based on gene annotations that have been compiled in reference databases. The use of these resources for quantitative comparisons, however, is complicated by sometimes vast differences in coverage. More importantly, however, we also observe substantial ascertainment biases that cannot be removed by simple normalization procedures. A striking example is provided by the correlations between protein domains. We observe that statistics derived from different computational gene annotation procedure show dramatic discrepancies, and even qualitative changes from negative to positive correlation, when compared to statistics obtained from annotation databases.