The gut microbiota of insects is one of the unexplored areas. The association with these microbiomes plays a vital role in supporting their survival and combat with ecological challenges. Mosquito is one of the focal attention insects among the Arthopods, being the vector of many pathogenic diseases including dengue and malaria. A variety of strategies have been designed and implemented to fight against these vectors including obnoxious use of insecticides. Indiscriminate use of insecticides has led to development of resistance against broad range of insecticides. Crucial role of bacteria in insecticide resistance has been under discussion. Many studies focus on the insecticide resistance due to gut microbiome. Thus, the role of gut microbiome is an important area for designing new vector control strategies and their role in improvement of a healthy environment.
Background:
Cancers of cervix, head and neck regions have been found to be associated with Human Papilloma Virus (HPV) infection. E1 protein makes an important papillomavirus replication factor. Among the ORFs of papillomaviruses, the most conserved sequence is that of the E1 ORF. It is the viral helicase with being a member of class of ATPases associated with diverse cellular activities (AAA+) helicases. The interactions of E1 with human DNA and proteins occurs in the presence of short linear peptide motifs on E1 identical to those on human proteins.
Methods:
Different Motifs were identified on HPV16 E1 by using ELMs. Elastic network models were generated by using 3D structures of E1. Their dynamic fluctuations were analyzed on the basis of B factors, correlation analysis and deformation energies.
Results:
3 motifs were identified on E1 which can interact with Cdk and Cyclin domains of human proteins. 11 motifs identified on E1 have their CDs of Pkinase on human proteins. LIG_MYND_2 has been identified as involved in stabilizing interaction of E1 with Hsp40 and Hsp70. These motifs and amino acids comprising these motifs play a major role in maintaining interactions with human proteins, ultimately causing infections leading to cancers.
Conclusion:
Our study identified various motifs on E1 which interact with specific counter domains found in human proteins, already reported having the interactions with E1. We also validated the involvement of these specific motifs containing regions of E1 by modeling elastic networks of E1. These motif involving interactions could be used as drug targets.
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