An In Silico Based Approach Towards the Characterization with Feature Identification and Analogy Modeling of Human Osteoclast Protein

The osteoclast is a kind of bone cell that splits down the bone tissue. The osteoclast is responsible for bone disease. So, the characterization, feature identification and 3D modeling of properties, transmembrane region prediction, conserved region analysis, motif analysis, 3D modeling and model validation of human osteoclast protein are very helpful for future drug delivery. The sequence rescued from NCBI was additionally analyzed along with the ExPASyProtparam tool. Conserved regions were analyzed with ClustalW as well as over and above analyzed with Jalview 2. Motif analysis, family domain prognosis, and transmembrane region analysis were executed with InterPro, MEMEsuite and THMMH Server v2.0 respectively. Lastly, analogy modeling and 3D layout were done using SWISS-MODEL. That protein structure model validation was done by using ERRAT as well as PROCHECK. Physicochemical features for human osteoclast proteins were analyzed and found molecular weight around 61.57 KDa, theoretical pi 4.61-8.94, instability index 14.47-51.58, aliphatic index 51.62-109.19, grand average of hydropathicity (GRAVY) - 0.702 to 0.299. Most of the osteoclast proteins were found hydrophilic. From the conserved region analysis, any significant region wasn't found. Still, a conserved region was located between osteoclast stimulatory transmembrane protein isoform X1 and osteoclast stimulatory transmembrane protein. All those osteoclast proteins belonged from different domains. From the motif analysis, a lower E value was found. Except for two transmembrane osteoclast proteins, there weren't any transmembrane regions for the rest of those proteins. Finally, the analogy 3D modeling for each protein was developed and those models were validated with several validation tools. This study can be helpful for further analysis and designing several types of ailment and drug delivery in the realm of bone disease.