Chloroflexus aurantiacus J-10-fI strain is a thermophilic gram-negative bacterium that possesses many proteins in its genome; some are considered as hypothetical proteins. The use of bioinformatics tools can assist in understanding this organism through structural and functional annotation. Our study aimed to assign structure and function to an ecologically important hypothetical protein present in the bacterial genome. To analyze the hypothetical protein (WP_012259469.1), we used an in silico approach to find out various properties like physiochemical characteristics, subcellular localization, 3D structure, protein-protein interaction and functional annotation. Protein-protein interactions were obtained from the STRING database. In silico analysis revealed that the protein is a soluble protein with predominantly alpha-helices in its secondary structure. The 3D model of the protein has been found to be novel and possessed expected quality as assessed by several quality assessment tools. Functional annotation indicated that the protein acted like a (R)-specific enoyl-CoA hydratase which is linked with PHA synthesis. Protein-protein interactions also showed with high confidence that the protein interacted with a protein synthesizer of enoyl-CoA hydratase involved in PHA biosynthesis. Polyhydroxyalkanoate (PHA) is a novel polyester used as a biodegradable thermoplastic and plays a crucial role in environmental biodegradability and biocompatibility. An extensive variety of microorganisms produces PHA for intracellular carbon and energy storage purposes. In the present investigation, we bioinformatically confirmed that the WP_012259469.1 is associated with the PHA biosynthesis pathway. From our anaylses, we also predict that polyhydroxyalkanoate (PHAs) has the potential to become an alternative source of renewable and biodegradable polyesters.

Background: SYK gene regulates the expression of SYK kinase (Spleen tyrosine kinase), an important non-receptor protein-tyrosine kinase for immunological receptor-mediated signaling, which is also considered a tumor growth metastasis initiator. An onco-informatics analysis was adopted to evaluate the expression and prognostic value of the SYK gene in colorectal cancer (CRC), the third most fatal cancer type; of late, it may be a biomarker as another targeted site for CRC. In addition, identify the potential phytochemicals that may inhibit the overexpression of the SYK kinase protein and minimize the human CRC. Materials & Methods: The differential expression of the SYK gene was analyzed using several transcriptomic databases, including Oncomine, UALCAN, GENT2, and GEPIA2. The server cBioPortal was used to analyze the mutations and copy number alterations, whereas GENT2, Gene Expression Profiling Interactive Analysis (GEPIA), Onco-Lnc, and PrognoScan were used to examine the survival rate. The protein-protein interaction network of SYK kinase and its co-expressed genes was conducted via Gene-MANIA. Considering the SYK kinase may be the targeted site, the selected phytochemicals were assessed by molecular docking using PyRx 0.8 packages. Molecular interactions were also observed by following the Ligplot+ version 2.2. YASARA molecular dynamics simulator was applied for the post-validation of the selected phytochemicals. Results: Our result reveals an increased level of mRNA expression of the SYK gene in colorectal adenocarcinoma (COAD) samples compared to those in normal tissues. A significant methylation level and various genetic alterations recurrence of the SYK gene were analyzed where the fluctuation of the SYK alteration frequency was detected across different CRC studies. As a result, a lower level of SYK expression was related to higher chances of survival. This was evidenced by multiple bioinformatics platforms and web resources, which demonstrated that the SYK gene can be a potential biomarker for CRC. In this study, aromatic phytochemicals, such as kaempferol and glabridin that target the macromolecule (SYK kinase), showed higher stability than the controls, and we have estimated that these bioactive potential phytochemicals might be a useful option for CRC patients after the clinical trial. Conclusions: Our onco-informatics investigation suggests that the SYK gene can be a potential prognostic biomarker of CRC. On the contrary, SYK kinase would be a major target, and all selected compounds were validated against the protein using in-silico drug design approaches. Here, more in vitro and in vivo analysis is required for targeting SYK protein in CRC.

Background PDE9A (Phosphodiesterase 9A) plays an important role in proliferation of cells, their differentiation and apoptosis via intracellular cGMP (cyclic guanosine monophosphate) signaling. The expression pattern of PDE9A is associated with diverse tumors and carcinomas. Therefore, PDE9A could be a prospective candidate as a therapeutic target in different types of carcinoma. The study presented here was designed to carry out the prognostic value as a biomarker of PDE9A in Colorectal cancer (CRC). The present study integrated several cancer databases with in-silico techniques to evaluate the cancer prognosis of CRC. Results The analyses suggested that the expression of PDE9A was significantly down-regulated in CRC tissues than in normal tissues. Moreover, methylation in the DNA promoter region might also manipulate PDE9A gene expression. The Kaplan–Meier curves indicated that high level of expression of PDE9A gene was associated to higher survival in OS, RFS, and DSS in CRC patients. PDE9A demonstrated the highest positive correlation for rectal cancer recurrence with a marker gene CEACAM7. Furtheremore, PDE9A shared consolidated pathways with MAPK14 to induce survival autophagy in CRC cells and showed interaction with GUCY1A2 to drive CRPC. Conclusions Overall, the prognostic value of PDE9A gene could be used as a potential tumor biomarker for CRC.

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