Machine learning modeling to identify affinity improved biobetter anticancer drug trastuzumab and the insight of molecular recognition of trastuzumab towards its antigen HER2-Reference-Cited by-同舟云学术

Machine learning modeling to identify affinity improved biobetter anticancer drug trastuzumab and the insight of molecular recognition of trastuzumab towards its antigen HER2

Published:2021-08-14 Issue: Volume: Page:1-15
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Balakrishnan Nataraj¹,Baskar Gurunathan²^ORCID,Balaji Sathyanarayan³,Kullappan Malathi⁴^ORCID,Krishna Mohan Surapaneni⁴⁵⁶⁷^ORCID

Affiliation:

1. EinNext AI Powered Biosciences, Chennai, India

2. Department of Biotechnology, St. Joseph’s College of Engineering, Chennai, India

3. Department of Biotechnology, Bannari Amman Institute of Technology, Erode, India

4. Department of Research, Panimalar Medical College Hospital & Research Institute, Chennai, India

5. Department of Biochemistry, Panimalar Medical College Hospital & Research Institute, Chennai, India

6. Department of Molecular Virology, Panimalar Medical College Hospital & Research Institute, Chennai, India

7. Department of Clinical Skills & Simulation, Panimalar Medical College Hospital & Research Institute, Chennai, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2021.1961866

Reference38 articles.

1. Application of proteometric approach for identification of functional mutant sites to improve the binding affinity of anticancer biologic trastuzumab with its antigen human epidermal growth factor receptor 2

2. Bazargani, Y. T., Boer, A., De, Schellens, J. H. M., Leufkens, H. G. M. & Mantel-Teeuwisse, A. K. (2015). Essential medicines for breast cancer in low and middle income countries. BMC Cancer, 15, 1–8. https://doi.org/10.1186/s12885-015-1583-4

3. Neuregulin1/ErbB4 Signaling Induces Cardiomyocyte Proliferation and Repair of Heart Injury

4. Machine learning techniques for protein function prediction

5. Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines

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