Goel Prerna, Panchal Tanya, Kaushik Nandini, Chauhan Ritika, Saini Sandeep, Ahuja Vartika, Thakur Chander Jyoti
Department of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, India.
Department of Biophysics, Panjab University, Sector 25, 160014, Chandigarh, India.
Mol Biol Res Commun. 2022 Jun;11(2):73-84. doi: 10.22099/mbrc.2022.43128.1719.
is a pathogenic, aerobic gram-negative coccobacillus bacterium. It is the causative agent of tularemia, a rare infectious disease that can attack skin, lungs, eyes, and lymph nodes. The genome of has been sequenced, and ~16% of the proteome is still uncharacterized. Characterizations of these proteins are essential to find new drug targets for better therapeutics. characterization of proteins has become an extremely important approach to determine the functionality of proteins as experimental functional elucidation is unable to keep pace with the current growth of the sequence database. Initially, we have annotated 577 Hypothetical Proteins (HPs) of strain SCHU4 with seven bioinformatics tools which characterized them based on the family, domain and motif. Out of 577 HPs, 119 HPs were annotated by five or more tools and are further screened to predict their virulence properties, subcellular localization, transmembrane helices as well as physicochemical parameters. VirulentPred predicted 66 HPs out of 119 as virulent. These virulent proteins were annotated to find the interacting partner using STRING, and proteins with high confidence interaction scores were used to predict their 3D structures using Phyre2. The three virulent proteins Q5NH99 (phosphoserine phosphatase), Q5NG42 (Cystathionine beta-synthase) and Q5NG83 (Rrf2-type helix turn helix domain) were predicted to involve in modulation of cytoskeletal and innate immunity of host, H2S (hydrogen sulfide) based antibiotic tolerance and nitrite and iron metabolism of bacteria. The above predicted virulent proteins can serve as novel drug targets in the era of antibiotic resistance.
是一种致病性需氧革兰氏阴性球杆菌。它是兔热病的病原体,兔热病是一种罕见的传染病,可侵袭皮肤、肺部、眼睛和淋巴结。该菌的基因组已被测序,其蛋白质组中约16%仍未被表征。对这些蛋白质进行表征对于寻找更好治疗方法的新药物靶点至关重要。随着实验功能阐释无法跟上当前序列数据库的增长速度,蛋白质表征已成为确定蛋白质功能的极其重要的方法。最初,我们使用七种生物信息学工具对菌株SCHU4的577个假设蛋白(HPs)进行了注释,这些工具基于家族、结构域和基序对它们进行了表征。在577个HPs中,有119个HPs被五种或更多工具注释,并进一步筛选以预测它们的毒力特性、亚细胞定位、跨膜螺旋以及理化参数。VirulentPred预测119个HPs中有66个具有毒性。利用STRING对这些有毒蛋白质进行注释以寻找相互作用伙伴,并使用具有高置信度相互作用分数的蛋白质通过Phyre2预测其三维结构。预测三种有毒蛋白质Q5NH99(磷酸丝氨酸磷酸酶)、Q5NG42(胱硫醚β-合酶)和Q5NG83(Rrf2型螺旋-转角-螺旋结构域)参与宿主细胞骨架和先天免疫的调节、基于硫化氢(H2S)的抗生素耐受性以及细菌的亚硝酸盐和铁代谢。上述预测的有毒蛋白质可作为抗生素耐药时代的新型药物靶点。