2013
DOI: 10.6026/97320630009792
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In silico identification of cross affinity towards Cry1Ac pesticidal protein with receptor enzyme in Bos taurus and sequence, structure analysis of crystal proteins for stability

Abstract: Any novel protein introduced into the GM crops need to be evaluated for cross affinity on living organisms. Many researchers are currently focusing on the impact of Bacillus thuringiensis cotton on soil and microbial diversity by field experiments. In spite of this, in silico approach might be helpful to elucidate the impact of cry genes. The crystal a protein which was produced by Bt at the time of sporulation has been used as a biological pesticide to target the insectivorous pests like Cry1Ac for Helicoverp… Show more

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“…Without a detailed understanding of which interactions are crucial for toxicity, such studies are likely to throw up many false positives, indeed one report predicts that Cry1Ac could have activity against cattle (Ebenezer et al, 2013), a prediction that is not supported by experimental observations. In summary, whilst our understanding of toxin structure is rapidly progressing, and might suggest that the large family of toxins is less diverse than was thought, we are still a long way from the goal of being able to match toxins and hosts based on primary sequence data generated from genome sequencing.…”
Section: The Future For In Silico Analysesmentioning
confidence: 99%
“…Without a detailed understanding of which interactions are crucial for toxicity, such studies are likely to throw up many false positives, indeed one report predicts that Cry1Ac could have activity against cattle (Ebenezer et al, 2013), a prediction that is not supported by experimental observations. In summary, whilst our understanding of toxin structure is rapidly progressing, and might suggest that the large family of toxins is less diverse than was thought, we are still a long way from the goal of being able to match toxins and hosts based on primary sequence data generated from genome sequencing.…”
Section: The Future For In Silico Analysesmentioning
confidence: 99%