2011
DOI: 10.4172/jpb.1000166
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In silico Homology Modeling of Prophenoloxidase activating factor Serine Proteinase Gene from the Haemocytes of Fenneropenaeus indicus

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Cited by 13 publications
(9 citation statements)
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“…Thus an enzyme with lower instability index and higher aliphatic index was considered to be more stable at higher temperatures. Vaseeharan reported the instability and aliphatic indices of the serine proteinase to be 38.08 and 83.18, respectively, indicating its stable nature which was in agreement with our studies.…”
Section: Discussionsupporting
confidence: 92%
“…Thus an enzyme with lower instability index and higher aliphatic index was considered to be more stable at higher temperatures. Vaseeharan reported the instability and aliphatic indices of the serine proteinase to be 38.08 and 83.18, respectively, indicating its stable nature which was in agreement with our studies.…”
Section: Discussionsupporting
confidence: 92%
“…Auxiliary structure prediction of a protein from its amino acid sequence is a pivotal advance. A few of the overall algorithms utilize the similarity and similarity [2,3] to proteins with known auxiliary structures inside the protein information Bank, elective proteins with low comparability estimates need single sequence way to deal with the disclosure of their secondary structure.…”
Section: Related Reviewmentioning
confidence: 99%
“…Secondary structure prediction of a protein from its amino acid sequence is an important step. Many of the existing algorithms use the similarity and homology [9,10] to proteins with known secondary structures in the Protein Data Bank, other proteins with low similarity measures need single sequence approach to the discovery of their secondary structure. An algorithm based on the deterministic sequential sampling method and hidden Markov model for the single-sequence protein secondary structure prediction are deduced.…”
Section: Data Mining In Proteomicsmentioning
confidence: 99%