Structure expectation by homology displaying (HM) can help understanding the three dimensional (3D) structure of a given protein. This thusly will help explain the systems behind protein work, since work is dictated by 3D structure. In light of the structure the capacity of the protein will be anticipated. (Structure situated in silico demonstrating). Homology Modeling has demonstrated valuable in the expectation of the 3D structure and capacity of proteins. Near structure expectation delivers an all-molecule model of a succession dependent on its arrangement to at least one related protein structures. Relative model structure incorporates either successive or synchronous displaying of the center of the protein, circles, and side chains.
Editorial: Journal of Bioprocessing & Biotechniques
Editorial: Journal of Bioprocessing & Biotechniques
Review Article: Journal of Bioprocessing & Biotechniques
Review Article: Journal of Bioprocessing & Biotechniques
Editorial: Journal of Bioprocessing & Biotechniques
Editorial: Journal of Bioprocessing & Biotechniques
Research Article: Journal of Bioprocessing & Biotechniques
Research Article: Journal of Bioprocessing & Biotechniques
Research Article: Journal of Bioprocessing & Biotechniques
Research Article: Journal of Bioprocessing & Biotechniques
Posters & Accepted Abstracts: Journal of Formulation Science & Bioavailability
Posters & Accepted Abstracts: Journal of Formulation Science & Bioavailability
Posters & Accepted Abstracts: Journal of Bioanalysis & Biomedicine
Posters & Accepted Abstracts: Journal of Bioanalysis & Biomedicine
Posters & Accepted Abstracts: Pharmaceutical Regulatory Affairs: Open Access
Posters & Accepted Abstracts: Pharmaceutical Regulatory Affairs: Open Access
Posters & Accepted Abstracts: Journal of Bioanalysis & Biomedicine
Posters & Accepted Abstracts: Journal of Bioanalysis & Biomedicine
Scientific Tracks Abstracts: Pharmaceutical Regulatory Affairs: Open Access
Scientific Tracks Abstracts: Pharmaceutical Regulatory Affairs: Open Access
Journal of Bioprocessing & Biotechniques received 3351 citations as per Google Scholar report