Mr. Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award
MohammadSadeq Mottaqi is a dedicated Ph.D. candidate in Biochemistry at the City University of New York, with a strong foundation in Biotechnology from the University of Tehran. He possesses a robust skill set in Python, R, and various bioinformatics tools. His research focuses on machine learning-based drug action prediction, molecular dynamics simulations, and protein-ligand interactions. He has contributed significantly to research projects at Hunter College and Weill Cornell Medicine, and has industry experience as an R&D intern. MohammadSadeq is a published author, with works in journals like the Journal of Environmental Management and Informatics in Medicine Unlocked.
Profile
Education🎓
City University of New York, the Graduate Center, New York, NY PhD in Biochemistry, Computer Science Department
Aug 2022 – Present. University of Tehran, Tehran, Iran B.Sc. in Biotechnology, GPA: 3.8 (top 15%) Sep 2017 – March 2022
Technical Skills💻
Programming Languages: Python, R, Bioinformatics Tools and Libraries: PyMol, MOE, Gromacs, Spss, Unity, Scikit-learn, Data Analysis: Transcriptomics data analysis, Statistical analysis, Data Visualization, Operating Systems: Linux, Unix, Others: High-performance computing
Relevant Experience 🌟
Machine learning-based prediction methods for drug actions
Prof. Lei Xie lab, Hunter College and Weill Cornell Medicine
June 2023 – Present
Thesis: Deep learning models for chemical-induced differential gene expression and cell viability predictions for de novo drugs and cell lines
- Resolve challenges in predictive modeling using algorithmic approaches
- Design pre-processing pipelines for Transcriptomics datasets
- Integrate disparate Transcriptomics datasets (80 cell-lines) using Python
- Incorporate multiple diverse labeled and unlabeled OMICS data
- Contribute to writing manuscript
Molecular dynamics simulations of mutated HER2 protein
Research assistant – Dr. Mateusz Marianski lab, Hunter College
April 2023 – June 2023
- Investigated coupling reactions and residue interactions in several mutated HER2 proteins
- Performed molecular dynamics (MD) simulations employing Gromacs
- Analyzed the data of the MD simulations
- Presented the interpreted results
Protein-Ligand interactions in docking
Research assistant – Prof. Tom Kurtzman lab, Lehman College
Nov 2022 – Jan 2023
- Identified the potential molecular interactions between protein pharmacophores and ligands
- Wrote Python scripts in PyMOL for detection of potential H-bonds and Van der Waals forces
Aral Teb CO. Ltd., Tehran, Iran
R&D Intern
May 2020 – Oct 2020
- Designed and executed experiments for a bacterial diagnostic kit
- Converted 3D MRI data into a format compatible with 3D bioprinter
- Served as a key researcher in the clean room
Virtual reality (VR) project, Iran’s National Elites Foundation
Nov 2020 – Aug 2021
- Devised 7 biotechnological experiments in VR environments employing Unity software
- Collaborated with 9 computer scientists and 4 biologists
Publications Top Notes 📝
- Iman Kianian, Mohammad Sadeq Mottaqi, et al. Automated identification of toxigenic cyanobacterial genera for water quality control purposes, Journal of Environmental Management
- Mohammad Sadeq Mottaqi, et al. Contribution of machine learning approaches in response to SARS-CoV-2 infection, Informatics in Medicine Unlocked, 2021