Cricula silkworm (Cricula trifenestrata Helfer) is a wild insect present in the northeastern part of India producing golden color fine silk. This silkworm completes its life cycle 4-5 times in a year and is thus termed multivoltine. In certain areas it completes the life cycle twice in a year and is thus termed bivoltine. The Cricula silkworm lives on some of the same trees with the commercially exploited ‘muga’ silkworm, so causes damages to that semi-domesticated silkworm. The Cricula feeds on leaves of several plants and migrates from one place to another depending on the availability of food plants. No literature is available on the life cycle, host plant preferences, incidence of the diseases and pests, and the extent of damage it causes to the semi-domesticated muga silkworm (Antheraea assamensis Helfer) through acting as a carrier of diseases and destroyer of the host plant. Thus, the present study aimed at recording the detail life cycle of Cricula in captivity as well as under natural conditions in order to develop strategies to control the damage it causes to the muga silk industry and also to explore the possibility of utilizing its silk for commercial utilization.

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Cricula trifenestrata (Helfer) (Lepidoptera: Saturniidae) - A silk producing wild insect in India.

An evaluation of the expression and predictive significance of the MDM2 gene in brain lower-grade glioma (LGG) cancer was carried out using onco-informatics pipelines. Several transcriptome servers were used to measure the differential expression of the targeted MDM2 gene and search mutations and copy number variations. GENT2, Gene Expression Profiling Interactive Analysis, Onco-Lnc, and PrognoScan were used to figure out the survival rate of LGG cancer patients. The protein–protein interaction networks between MDM2 gene and its co-expressed genes were constructed by Gene-MANIA tool. Identified bioactive phytochemicals were evaluated through molecular docking using Schrödinger Suite Software, with the MDM2 (PDB ID: 1RV1) target. Protein–ligand interactions were observed with key residues of the macromolecular target. A molecular dynamics simulation of the novel bioactive compounds with the targeted protein was performed. Phytochemicals targeting MDM2 protein, such as Taxifolin and (-)-Epicatechin, have been shown with more highly stable results as compared to the control drug, and hence, concluded that phytochemicals with bioactive potential might be alternative therapeutic options for the management of LGG patients. Our once informatics-based designed pipeline has indicated that the MDM2 gene may have been a predictive biomarker for LGG cancer and selected phytochemicals possessed outstanding interaction results within the macromolecular target’s active site after utilizing in silico approaches. In vitro and in vivo experiments are recommended to confirm these outcomes.

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Study of MDM2 as Prognostic Biomarker in Brain-LGG Cancer and Bioactive Phytochemicals Inhibit the p53-MDM2 Pathway: A Computational Drug Development Approach

HCV is a hepatotropic RNA virus recognized for its frequent virulence and fatality worldwide. Despite many vaccine development programs underway, researchers are on a quest for natural bioactive compounds due to their multivalent efficiencies against viral infections, considering which the current research aimed to figure out the target-specificity and therapeutic potentiality of α, β, and δ subunits of amyrin, as novel bioactive components against the HCV influx mechanism. Initially, the novelty of amyrin subunits was conducted from 203 pharmacophores, comparing their in-silico pharmacokinetic and pharmacodynamic profiles. Besides, the best active site of CD81 was determined following the quantum tunneling algorithm. The molecular dynamic simulation was conducted (100 ns) following the molecular docking steps to reveal the parameters- RMSD (Å); Cα; RMSF (Å); MolSA (Å2); Rg (nm); PSA (Å); SASA (Å2), and the MM-GBSA dG binding scores. Besides, molecular strings of CD81, along with the co-expressed genes, were classified, as responsible for encoding CD81-mediated protein clusters during HCV infection, resulting in the potentiality of amyrins as targeted prophylactics in HCV infection. Finally, in vivo profiling of the oxidative stress marker, liver-specific enzymes, and antioxidant markers was conducted in the DMN-induced mice model, where β-amyrin scored the most significant values in all aspects. 

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Target-specificity of different amyrin subunits in impeding HCV influx mechanism inside the human cells considering the quantum tunnel profiles and molecular strings of the CD81 receptor: a combined in silico and in vivo study

A new host plant record for the mango defoliator, Cricula trifenestrata, from Mymensingh, Bangladesh.

Diabetes mellitus is a chronic hormonal and metabolic disorder in which our body cannot generate necessary insulin or does not act in response to it, accordingly, ensuing in discordantly high blood sugar (glucose) levels. Diabetes mellitus can lead to systemic dysfunction in the multiorgan system, including cardiac dysfunction, severe kidney disease, lowered quality of life, and increased mortality risk from diabetic complications. To uncover possible therapeutic targets to treat diabetes mellitus, the in silico drug design technique is widely used, which connects the ligand molecules with target proteins to construct a protein-ligand network. To identify new therapeutic targets for type 2 diabetes mellitus, Azadirachta indica is subjected to phytochemical screening using in silico molecular docking, pharmacokinetic behavior analysis, and simulation-based molecular dynamic analysis. This study has analyzed around 63 phytochemical compounds, and the initial selection of the compounds was made by analyzing their pharmacokinetic properties by comparing them with Lipinski’s rule of 5. The selected compounds were subjected to molecular docking. The top four ligand compounds were reported along with the control drug nateglinide based on their highest negative molecular binding affinity. The protein-ligand interaction of selected compounds has been analyzed to understand better how compounds interact with the targeted protein structure. The results of the in silico analysis revealed that 7-Deacetyl-7-oxogedunin had the highest negative docking score of −8.9 Kcal/mol and also demonstrated standard stability in a 100 ns molecular dynamic simulation performed with insulin receptor ectodomain. It has been found that these substances may rank among the essential supplementary antidiabetic drugs for treating type 2 diabetes mellitus. It is suggested that more in vivo and in vitro research studies be carried out to support the conclusions drawn from this in silico research strategy.

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Molecular Dynamics Simulation and Pharmacoinformatic Integrated Analysis of Bioactive Phytochemicals from Azadirachta indica (Neem) to Treat Diabetes Mellitus

Oncoinformatic screening of the gene clusters involved in the HER2-positive breast cancer formation along with the in silico pharmacodynamic profiling of selective long-chain omega-3 fatty acids as the metastatic antagonists.

Rono M. M. A., Ahad M. A., Hasan S. M., Uddin M. F. and Islam A.K.M.N. 2008. Morphometrics Measurement of Mango Defoliator Cricula trifenestrata (F. Lepidotera: Saturniidae). Int. J. Sustain. Crop Prod. 3(3):45-48 A study was conducted in the laboratory of Department of Entomology, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur during April to July, 2007 at 25 ± 2oC and 75 ± 5 % RH ( at room temperature and humidity) to study the morphological measurement of mango defoliator Cricula trifenestrata. The results of morphometric measurement reveal that the average length and breadth of eggs were 2.27 and 1.86 mm, respectively. The mean length and breadth of 1, 2, 3, 4 and 5 instar larvae were 4.08, 13.90, 30.09, 61.37, 81.49 and 2.17, 5.09, 7.23, 11.22, 15.51 mm, respectively. The average length and breadth of male and female cocoon were 41.98, 50.89 and 12.31, 16.22 mm whereas the length and breadth of male and female pupa were 31.64, 35.57 and 10.61, 12.58 mm, respectively. The average length and breadth of male and female moth were 22.35, 32.48 and 32.02, 74.14 mm, respectively.

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Morphometrics measurement of mango defoliator Cricula trifenestrata (F. Lepidotera: Saturniidae).

The scenario of textile industries in Bangladesh has been progressing rapidly for the past few decades. As the second-largest exporter for readymade garments of the world, only next to China, the government of Bangladesh focuses much attention on sustaining the current position and developing various strategies for further achievements. Since the birth of the RMG business in the country, one of the primary goals in the nation’s educational policy was to build a suitable environment for textile studies and related disciplines. This study highlights the scenario of that sector from an analytical perspective, also evaluating the present situation of textile engineering among Bangladeshi universities. Moreover, it gives a glimpse of the research opportunities for interested personnel and their future career in the fields. In addition, it provides a brief idea about how the nation is communicating and co-operating with universities and institutes outside the country and why Bangladesh should be considered a good choice for textile studies among students and researchers worldwide. 

M. F. Uddin

Papers

Oncoinformatic screening of the gene clusters involved in the HER2-positive breast cancer formation along with the in silico pharmacodynamic profiling of selective long-chain omega-3 fatty acids as the metastatic antagonists.

Morphometrics measurement of mango defoliator Cricula trifenestrata (F. Lepidotera: Saturniidae).

Brief Analysis on the Past, Present, and Future of Textile Education in Bangladesh

Target-specificity of different amyrin subunits in impeding HCV influx mechanism inside the human cells considering the quantum tunnel profiles and molecular strings of the CD81 receptor: a combined in silico and in vivo study