Genetic mutations contribute significantly to the complexity of understanding Acute Coronary Syndrome (ACS). Artificial Intelligence (AI) models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), have been integrated as an advanced approach to uncover hidden mutation clues for early detection and prevention of life-threatening diseases, including ACS. INTRODUCTION:Genetic mutations play a crucial role in the pathogenesis of ACS, complicating efforts to fully characterize its underlying biological mechanisms. These mutations contribute to atherosclerosis, leading to ACS, along with other genetic disorders, making it essential to explore them using advanced AI models. AIM OF THE STUDY:The study focuses on the impact of genetic mutations on ACS risk and on understanding these mutations using AI tools, such as ANN, CNN, and RNN. METHODS:An innovative Artificial Intelligence (AI)-based approach was used to investigate the key loopholes associated with ACS. AlphaFold and AI models, including ANN, CNN, and RNN, were utilized to analyze genetic data and biological processes related to ACS and other genetic diseases. RESULTS AND DISCUSSION:AI models have simplified the interpretation of complex genetic data, revealing how ACS-related mutations contribute to atherosclerosis by affecting molecular pathways and mechanisms. CONCLUSION:Although challenges remain, the integration of AI in cardiac genetics offers promise for personalized medicine, providing timely solutions while maintaining ethical standards.

Liver and Breast cancer are ranked as the most prevailing cancers that cause high cancer-related mortality. As cancer is a life-threatening disease that affects the human population globally, there is a need to develop novel therapies. Among the available treatment options include radiotherapy, chemotherapy, surgery, and immunotherapy. The most superlative modern method is the use of plant-derived anticancer drugs that target the cancerous cells and inhibit their proliferation. Plant-derived compounds are generally considered safer than synthetic drugs/traditional therapies and could serve as potential novel targets to treat liver and breast cancer to revolutionize cancer treatment. Alkaloids and Polyphenols have been shown to act as anticancer agents through molecular approaches. They disrupt various cellular mechanisms, inhibit the production of cyclins and CDKs to arrest the cell cycle, and activate the DNA repairing mechanism by upregulating p53, p21, and p38 expression. In severe cases, when no repair is possible, they induce apoptosis in liver and breast cancer cells by activating caspase-3, 8, and 9 and increasing the Bax/Bcl-2 ratio. They also deactivate several signaling pathways, such as PI3K/AKT/mTOR, STAT3, NF-κB, Shh, MAPK/ERK, and Wnt/β-catenin pathways, to control cancer cell progression and metastasis. The highlights of this review are the regulation of specific protein expressions that are crucial in cancer, such as in HER2 over-expressing breast cancer cells; alkaloids and polyphenols have been reported to reduce HER2 as well as MMP expression. This study reviewed more than 40 of the plant-based alkaloids and polyphenols with specific molecular targets against liver and breast cancer. Among them, Oxymatrine, Hirsutine, Piperine, Solamargine, and Brucine are currently under clinical trials by qualifying as potent anticancer agents due to lesser side effects. As a lot of research is there on anticancer compounds, there is a desideratum to compile data to move towards clinical trials phase 4 and control the prevalence of liver and breast cancer.

Molecular analysis for varietal identification is the most genuine and widely accepted technique now a days. Assessment and characterization of genetic diversity in fruit crop species is fundamental for its improvement and development. Genetic diversity analyses were performed on 96 Pakistani local citrus genotypes. In the present study, different type of Simple sequence repeats (SSR) markers was identified but nine expressed sequence tags SSR markers and four simple SSR markers were used for final cultivar identification of 96 samples. Total twelve primer pairs were used to detect polymorphic markers. Several loci were assayed for allelic polymorphism. All SSR primer pairs were reproducible and showed several polymorphic alleles through genetic analyzer. Each marker detected approximately 3 to 5 alleles to assess the genetic variation among citrus genotypes from the Citrus repository of the Citrus Research Institute Sargodha. Results revealed that TAA45 showed more polymorphism than TAA15, TAA33, TAA41. Similarly in EST SSR markers, specially designed markers for Pakistani citrus varieties, PK2, PK3 showed two alleles, while PK4, PK5, PK6, PK8, PK9, PK10 showed several allelic polymorphisms ranging between 4-6 polymorphic bands per cultivar. Base pair amplification position of every marker, size range of amplicon, along with their repeating units were also identified. More than fifty alleles were detected, indicating a high level of genetic diversity within this cultivated citrus population. This information can be used in the development of citrus mapping populations, in the selection of parents to be used in cultivar development breeding programs through crossbreeding, and in determining the polymorphic level variation of SSR markers. Studies will provide useful information to assess genetic diversity and characterization of Pakistani Citrus varieties.

The present study outlines the approach that was employed for cloning, expression, and characterization of the recombinant pullulanase enzyme from Bacillus cereus ATCC 14579 into Escherichia coli BL21(DE3) using pET-25b (+) expression vector. The recombinant pullulanase enzyme was purified using ammonium sulfate precipitation and immobilized metal ion affinity chromatography (IMAC). The molecular mass of the purified pullulanase enzyme was measured using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) as 95 kDa. The purified recombinant pullulanase enzyme demonstrated significant thermal stability, maintaining its structural integrity and functionality at temperatures as high as 90 degrees C over a period of 4 h. The inclusion of divalent metal ions, specifically Ca2+ and Mg2+, had a positive effect on the activity of the pullulanase enzyme. Conversely, the presence of Co2+ and EDTA (Ethylene Diamine Tetra Acetic acid) resulted in suppression of the enzyme activity. The purified pullulanase enzyme demonstrated remarkable resistance when exposed to organic solvents. The enzyme activity was notably decreased in the presence of SDS (Sodium Dodecyl Sulfate) while beta-mercaptoethanol and tween-60 did not substantially affect the enzyme activity and stability which suggest its potential applicability in the detergent sector. This discovery indicates a potential approach to improve the effectiveness of currently available detergents in the marketplace.

Neurodegenerative diseases (ND) are disorders of the central nervous system (CNS) characterized by impairment in neurons' functions, and complete loss, leading to memory loss, and difficulty in learning, language, and movement processes. The most common among these NDs are Alzheimer's disease (AD) and Parkinson's disease (PD), although several other disorders also exist. These are frontotemporal dementia (FTD), amyotrophic lateral syndrome (ALS), Huntington's disease (HD), and others; the major pathological hallmark of NDs is the proteinopathies, either of amyloid-β (Aβ), tauopathies, or synucleinopathies. Aggregation of proteins that do not undergo normal configuration, either due to mutations or through some disturbance in cellular pathway contributes to the diseases. Artificial Intelligence (AI) and deep learning (DL) have proven to be successful in the diagnosis and treatment of various congenital diseases. DL approaches like AlphaFold (AF) are a major leap towards success in CNS disorders. This 3D protein geometry modeling algorithm developed by DeepMind has the potential to revolutionize biology. AF has the potential to predict 3D-protein confirmation at an accuracy level comparable to experimentally predicted one, with the additional advantage of precisely estimating protein interactions. This breakthrough will be beneficial to identify diseases' advancement and the disturbance of signaling pathways stimulating impaired functions of proteins. Though AlphaFold has solved a major problem in structural biology, it cannot predict membrane proteins-a beneficial approach for drug designing.

Mitochondrial F1F0-ATP synthase is a vital enzymatic complex in energy metabolism that provides the cell with ATP. ATP synthase is composed of five complexes carry out which execute electron transport and ATP synthesis, vital processes of cellular oxidative phosphorylation. Complex V also known as the F1 F0 ATP synthase or ATPase is mainly involved in of production of ATP by phosphorylating ADP with electrochemical energy produced by the proton gradient across the inner membrane of mitochondria. Plant reproduction and survival are harmed by abiotic factors such as drought, salinity and high temperature. Previously genes of ATP synthase were to over express in stress conditions in plants. It was discovered that during abiotic stresses, such as high salts, drought, and cold, expression of the AtMtATP6 gene was high in Arabidopsis. In transgenic yeast and Arabidopsis plants, overexpression of the AtMtATP6 gene increased resistance to salts, drought, oxidative and cold stress. Antisense construct of ATP synthase transformed in various palnts exhibited diverse effects including decline in plant growth, impaired flowering as well as reduced plant vigor. Consequently, ATP synthase subunits gene is crucial for plant development and growth by providing cellular energy source to cell.

Abstract Background/Aims The 2018 British Society for Rheumatology guidelines mandate pre-treatment screening for infections (including tuberculosis [TB], viral hepatitis and HIV) in patients prior to treatment initiation with advanced therapies. It is increasingly common for patients to switch advanced therapies due to inefficacy or intolerance. There is no established guideline stipulating the frequency of rescreening patients for infections when switching advanced therapies. Rescreening is expensive and can delay the prescribing process. This audit reviewed the current practice at a single tertiary rheumatology centre. Methods A retrospective case note analysis of 100 consecutive patients who underwent biologic switch between April 2021 to March 2022 was included. Data extraction included patient demographics, rheumatic diagnosis, drug exposures, co-morbidities including past infections and rescreening tests were undertaken (including T-SPOT.TB, chest X-ray and serological tests for hepatitis B, C and HIV). Results The median age of this cohort (64 female, 36 male) was 53 (IQR 41 - 60). The most common diagnosis was rheumatoid arthritis (n = 62), followed by psoriatic arthritis (n = 27) and ankylosing spondylitis (n = 7). Seven patients were identified as high-risk individuals: two patients with hepatitis B, one with latent TB, one with previous positive TSPOT.TB and three with underlying lung diseases. 69 patients were partially rescreened for infections and 21 patients had a complete re-screen including chest X-ray, TSPOT.TB, HIV serology, HBsAg, Anti-HbC and Anti HCV. 31 patients did not have any re-screening tests when switching to a different biological drug. The range since the previous pre-advanced therapy screening was between 6 months and 5 years. There was no significant difference in the rate of rescreening investigations between those who switched drugs within the same class, versus those switching drug classes (p = 0.874). No new infections, active or latent, were identified on rescreening. The total cost involved in rescreening this cohort of patients was estimated at £5930. Conclusion Our audit data showed that rescreening for infections at 18 months or less has a low yield for identifying new incident infections. The decision to rescreen patients was primarily driven by the clinician’s judgement. It is pertinent to standardise the practice by establishing an evidence-based guideline based on a robust risk assessment which may then lead to long-term cost-savings. Disclosure A. Masood: None. Y. Xiang: None. S. Rose-Hartwell: None. S. Subesinghe: None.

The etiological complexity of Behçet syndrome (BS), an immune-mediated rare form of vasculitis characterized by multi-organ involvement, is still elusive due to an incomplete understanding of the synergy between genetic susceptibility, environmental triggers, and an abnormal immune response. Long-standing theories regarding the origins of BS include the involvement of infectious organisms supporting an aberrant immunological response through different mechanisms, including molecular mimicry. Additionally, it has been demonstrated that the BS phenotypes are linked to oral and gut microbiome dysbiosis, which is a dynamic reservoir of millions of microbes containing proteins and metabolites that can mimic the autoantigens. Infections, including viral pathogens, could potentially trigger the inflammation and symptoms of BS. In this review, we aim to describe the available evidence on the cross-talk between BS and infections in order to discuss potential clinical implications and possible therapeutic targets.

Abstract Background/Aims The objective of this abstract is to raise awareness on an emerging overlap syndrome of life-threatening immune-related adverse events, manifesting as a triad of myositis, myocarditis and myasthenia gravis in immune check-point inhibitor (ICI) treated patients. It highlights the success of combination, aggressive and prompt immunosuppression with high dose intravenous steroid, cyclophosphamide, rituximab and intravenous immunoglobulin therapy, in two patients presenting at Guy’s and St Thomas’s Hospital, London with this overlap syndrome following pembrolizumab therapy. Methods Case presentation. Case 1: 75-year-old Caucasian gentleman receives one dose of pembrolizumab for metastatic melanoma. Two weeks later, he presents with myalgia, weakness, elevated CK 10,000. Troponin T is raised 459, ECG shows right bundle branch block (RBBB) and on day 3, he rapidly descends into complete heart block then cardiac arrest. Return of spontaneous circulation is obtained and a permanent pacemaker (PPM) inserted. On day 6, myocardial biopsy confirms acute myocarditis. He develops progressive muscle weakness, dysphagia and Type 2 respiratory failure. He receives 3 doses of IV methylprednisolone, in addition to intravenous immunoglobulins (IVIG) and intravenous cyclophosphamide. EMG shows mild myopathic features, positive AChR antibody, SSA/Ro60 and myositis-specific SRP antibodies and he becomes dependent on non-invasive ventilation. He commences pyridostigmine for myasthenia gravis. On day 19 two doses 1g Rituximab two weeks apart is administered. Monthly IVIG continues for three months and he completes 6 cycles of 500mg cyclophosphamide. A year following discharge, he is maintained on prednisolone 5mg OD with no additional immunosuppression and significantly improved muscle strength. Case 2: 77-year-old Caucasian gentleman receives one dose of pembrolizumab for metastatic melanoma. Four weeks later, he presents with myalgia, bilateral ptosis, muscle weakness and breathlessness. Bloods show CK 6467, troponin T 1058. He promptly receives 3 doses of IV methylprednisolone in addition to IVIG. A PPM is inserted electively as ECGs show RBBB and intermittent bradyarrhythmias. His anti-Ro/SSA-52 antibody is positive and AChR and myositis-specific antibodies are negative. He trials neostigmine due to persistent ptosis. On Day 6, muscle biopsy confirms immune-mediated necrotising myositis and he commences intravenous cyclophosphamide 500mg followed by 5 further cycles. On day 7, 1g intravenous rituximab is administered and repeated two weeks later, additional to monthly IVIG for five months. 6 months later, his CK has normalised and he has no residual muscle weakness. Results n/a Conclusion Although a rare complication of ICIs, this triad of myositis, myocarditis and myasthenia gravis can be potentially severe and fatal. With ICI reshaping the prognosis of several cancers and pembrolizumab gaining recent further approvals, we will increasingly encounter this therapeutic challenge. Therefore, raising awareness of this overlap syndrome amongst rheumatologists is even more critical to allow for prompt recognition and treatment with immunosuppression. Disclosure A. Mootoo: None. A. Masood: None. P. Maghsoudlou: None. D. D'Cruz: None.

In the present study purification and characterization of a novel extracellular pullulanase enzyme from Bacillus thuringiensis was carried out for use in detergents. Maximum production of pullulanase (5.71 U/mL) was obtained in the medium containing tryptone as carbon and energy sources. The pH of media was 6.0 when it was inoculated with 3% overnight grown inoculum and incubated at 37 degrees C for 24 h. Optimal conditions for pullulanase enzyme activity were also determined and maximum activity of enzyme (8.584 U/mL) was found with 4% pullulan as a substrate in phosphate buffer of pH 7.0 at 50 degrees C after 20 min of incubation. Purification of pullulanase enzyme was achieved to homogeneity by ammonium sulphate precipitation as well as by ion exchange chromatography and a distinct band of 97 kDa was analyzed by SDS -PAGE. Purification fold of purified enzyme was calculated as 16.83 with 37% yield and 45.45 U/mg specific activity. The enzyme was stable up to 90 degrees C and pH 4.0-8.0. In the presence of Ca+2 ions, the activity of the enzyme was increased, whereas EDTA found to reduce the pullulanase enzyme activity. The addition of 1% Tween 80 and Tween 20 did not show considerable effects but SDS and DMSO slow down the pullulanase enzyme activity. No significant effect of organic solvents (ethanol, methanol, acetone, isopropanol, and n-butanol) was detected on enzyme's residual activity. Purified pullulanase enzyme showed great stability with laundry detergents and wash performance was increased in the presence of pullulanase along with amylase against starchy stain.

Huntington’s disease is a rare neurodegenerative illness of the central nervous system that is inherited in an autosomal dominant pattern. Mutant huntingtin protein is produced as a result of enlargement of CAG repeat in the N-terminal of the polyglutamine tract. Herein, we aim to investigate the mutations and their effects on the HTT gene and its genetic variants. Additionally, the protein–protein interaction of HTT with other proteins and receptor-ligand interaction with the three-dimensional structure of huntingtin protein were identified. A comprehensive analysis of the HTT interactome and protein–ligand interaction has been carried out to provide a global picture of structure–function analysis of huntingtin protein. Mutations were analyzed and mutation verification tools were used to check the effect of mutation on protein function. The results showed, mutations in a single gene are not only responsible for causing a particular disease but may also cause other hereditary disorders as well. Moreover, the modification at the nucleotide level also cause the change in the specific amino acid which may disrupt the function of HTT and its interacting proteins contributing in disease pathogenesis. Furthermore, the interaction between MECP2 and BDNF lowers the rate of transcriptional activity. Molecular docking further confirmed the strong interaction between MECP2 and BDNF with highest affinity. Amino acid residues of the HTT protein, involved in the interaction with tetrabenazine were N912, Y890, G2385, and V2320. These findings proved, tetrabenazine as one of the potential therapeutic agent for treatment of Huntington’s disease. These results give further insights into the genetics of Huntington’s disease for a better understanding of disease models which will be beneficial for the future therapeutic studies.

The objectives of this study: Prevalence and in-silico analysis of lipid and cardiac enzymes in ACS patients. A total of 213 (137 male and 76 female) blood samples were taken from cardiac patients. After prevalence analysis was done on blood samples of patients & to check the biomarker level of all cardiac and lipid enzymes in all patients to find out the acute coronary syndrome. Statical analysis was done using the spss 21 software and In-silico analysis was also done in this study. In statical analysis, correlation showed a relationship with lipid, cardiac, walk and exercise with significant level P<0.05, 0.01. Smoking and walk have a positive relationship with cardiac and lipid enzymes show a negative relationship with smoking and exercise with sig. level p< 0.05. The regression analysis has shown CPK, C.K.M.B, LDH, V.L.D.L. positively and significantly predicted with smoking. Cholesterol, Triglyceride, AST negatively and significantly predicted with smoking which shows that F has 17.602% and R esquire has a .339% variation with smoking. Insilco analysis shows that Selenocysteine, Asparagine, and Lysine are binding residues involved in TSP1-human and TIQ ligand in molecular docking. ligand and protein, have -5.7 is the lowest energy and distance between is 3.137 to 5.829. More exercise could reduce ACS problems in cardiac patients. New markers and therapies are discovered in the future for biotechnologies.

Two variants of RuBisCO promoter from zea mays were selected to generate hybrid promoter by using bioinformatics tools. Sequence analysis of both RuBisCO promoter variants revealed several critical cis regulatory elements and transcription factors binding sites within the promoter region. Various regulatory motifs related to constitutive expression were located in RuBisCO promoter fragments. Analysis of cis -regulatory regions has paved way to design synthetic promoters. Both variants were separately cloned in TA vector (pTZ57R/T) and then joined to get the complete hybrid promoter (Rub-H). Hybrid RuBisCO promoter was further cloned in expression vector pGR1. Transient GUS assay revealed that hybrid promoter exhibited endosperm specific expression in wheat. From the study it is demonstrated that hybrid promoter (Rub-H) may be used to derive constitutive expression in monocots. The present work provides an important insight in the designing of hybrid monocot promoters to improve various traits in crops without facing IPR issues. It is expected that complete understanding of the regulatory regions and transcription factors in the regulatory regions would help in designing new synthetic/ hybrid promoters for tissue specific or constitutive expression of transgenes.

To evaluate the expression of genes that involved in hypothyroidism by multiple alignment of nucleotide sequences of genes study the functional unit of genes that involve in production of thyroid hormones. The thyroid gland is part of endocrine gland and regulates much vital body function (breathing, heart rate, body weight, body temperature also involve in development, growth, protein production and it also control the central and peripheral nervous system, muscle strength and menstrual cycle). Hypothyroidism is a condition in which thyroid gland does not produce enough thyroid hormone. To find the genetics information than by using bioinformatics tools several genes that were involved in hypothyroidism were identified but six genes TSHR, TPO, THRB, TG, IYD, DUOX2 and their motifs were studied in detail to understand the basic domains involved in this disease.

OBJECTIVETo study the orthologs of the five genes of congenital hypothyroidism NIS, PAX8, DUOX2, FOXE1, NKX2-1 that are involved in the development of the thyroid gland.METHODSThe study was conducted at INMOL Cancer Hospital, Lahore in September 2017 and comprised of finding gene orthologs, phylogenetic tree and domains of NIS, PAX8, DUOX2, FOXE1, NKX2-1 which were studied using different bioinformatics tools, including FASTA, BLAST, ENSEMBL, UniProt, MultiAlin, to find out the important domains involved in the mutations of these genes.RESULTSGenes showed consensus sequence / motifs involved in congenital hypothyroidism. Phylogenetic results showed that these genes shared some common motifs. Phylogenetic trees revealed sub-clusters with high protein homology.CONCLUSIONSGenes involved in congenital hypothyroidism were found to have a consensus sequence motifs.

Plasma membrane intrinsic proteins (PIP1) are the most common integral membrane proteins belong to a larger family of intrinsic aquaporin proteins. They are member of aquaporin gene family and have gained importance as highly expressed genes in plants. In this study, the promoter of aquaporin PIP1 gene was identified, analyzed and retrieved from high throughput genomic sequence (HTGS) database. The cis-acting regulatory elements, transcription start sites and transcription factor binding sites of selected promoter were identified through different bio-informatics tools. Many light responsive, phytohormone, stress and defense related cis-regulatory elements were detected in PIP1 promoter region indicating its role as a constitutive promoter. The PIP1 promoter was isolated from Solanum tuberosum. It was initially cloned in TA vector (pTZ57R/T) and later transferred to plant expression binary vectors, pGR1 and pGA482 for transient and stable expression studies in tobacco. The GUS expression results of PIP1 promoter in different tobacco tissues showed its functional importance in regulating gene expression in a constitutive manner. Further, it was concluded that the PIP1 aquaporin promoter is constitutively expressed with a strength equivalent to CaMV 2x35S promoter. These findings indicated the significance of isolated promoter for genetic engineering of plants for crop improvement.

Promoters are of great importance for controlling gene expression. There are various regulatory regions within promoters which are crucial for expression specificity. Depending upon mode of expression, promoters can be divided into constitutive, tissue/developmental stage specific or inducible promoters. For expression of certain gene, there is interplay of cis acting element located on promoter and transcription factors. Cotton fibre promoters are of great importance in biotechnology as these may be used to express fibre genes in cotton fibres specifically. Although most of cotton fibre gene promoters show expression in fibres but some of them also exhibit expression in various other organs like trichomes, pedicles and vascular tissues. Due to difficulties in somatic embryogenesis in cotton, these promoters are mostly studied in heterologous systems like Arabidopsis and tobacco. In this article, expression pattern of some cotton fibre genes promoters have been reviewed.

Lipid transfer proteins (LTPs) have role in transfer of phospholipids along biological membranes. A cotton LTP7 promoter was isolated using high throughput genomic sequences (HTGS) data base. Analysis of promoter nucleotide sequence revealed a number of crucial regulatory elements including core promoter elements. A 1.8 kb fragment of LTP7 promoter was isolated from genomic DNA of cotton and finally cloned in plant expression vector to characterize its functionality. Transient GUS assay revealed that promoter showed expression in cotton fibres during the time of elongation and different stages of secondary cell wall synthesis. Deletion analysis at 5' end showed that 1 kb promoter showed strong expression during stage of secondary cell wall synthesis. Whereas, 1.5 kb deletion fragment exhibited less strong expression in cotton fibres. Results of this present study, showed that 1 kb deletion fragment and 1.8 kb LTP7 promoter exhibits fibre specific expression and may be used to express fiber genes in cotton.

Promoters are regulatory elements that control's transcription and overall expression profile of genes. Plants consists of several enzymes, which are important for controlling metabolic activities. Starch branching enzyme (SBE), is one of an important enzyme involved in biosynthesis of starch in plants. It also plays a crucial role in determining the structure and physical properties of starch granules. SBE has two types, SBEl and SBEll. SBEll further divided in SBElla and SBEllb. Both of these have different effects and size in different crops. Starch branching enzyme from Oryza sativa was selected for the current research. Rice is a staple food of 70% population of the world. The present research was focused on identification of SBE gene orthologues, analysis of SBE promoter sequence through High throughput genome sequencing (HTGS) database, screening of cis regulatory elements through Plant CARE database and further detection of putative protein domains through Conserved protein domain family (CDD) database within the promoter region. Several bioinformatics software's were used for this purpose. The study provides a deep insight on importance of designing constitutive novel promoters, which can be effectively substituted to get enhanced transgene expression in agricultural crops.

Sucrose synthase (SUS) is one of the abundantly expressed genes in plants. In this study, the promoter sequence of SUS gene was identified, analyzed and retrieved from high throughput genomic sequence (HTGS) database. The transcription factor binding sites (TFBs) of subject promoter were identified through different bioinformatics tools. The analysis revealed several crucial motifs and TFBs within the entire promoter region. The most common site found within promoter region was AGL3, which binded with DNA-region specific binding site and involved in process of transcriptional regulation. AGL3 is also a key factor for studying protein dimerization activity. Furthermore, AGL3 encodes a protein, which encodes a conserved domain, MADS protein domain. The analysis of AGL3 through (Plant PAN 2.0) showed three associated TF: AT5G23260, AT2G03710, U81369, which were used for further analysis of conserved protein domains through Pfam and InterPro. We found that these TF could help in developmental regulation and validation of candidate genes. Moreover, the binding of AGL3 with serum response factor (SRF), a nuclear protein also indicates the transcriptional regulations of several growth factors. This core domain belongs to MADS protein family, which interacts with certain accessory factors and varies up to 90 amino acids. Analysis of such promoter sequences and their predicted TF can be useful to understand the transcriptional regulatory networks in plant genetic engineering.