Personal information

Other IDs

Scopus Author ID: 57549496500

Keywords

Bioinformatics, Computational Biology, Next Generation Sequencing (NGS), Biotechnology, R Programming, Python, Statistics using R Programming, Machine Learning

Countries

India, United States

Activities

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Education and qualifications (4)

Boston University: Boston, US

2024-09-03 to present | MS in Bioinformatics (Faculty of Computing and Data Science)
Education
Source: Self-asserted source
Aravind Panicker

Eminent Biosciences: Indore, Madhya Pradesh, IN

2018-06-15 to 2024-08-20 | Bioinformatics Analyst (Bioinformatics)
Qualification
Source: Self-asserted source
Aravind Panicker

Amity Institute of Biotechnology, Amity University: Mumbai, Maharashtra, IN

2021-09-05 to 2023-06-06 | M.Sc. Biotechnology (Biotechnology)
Education
Source: Self-asserted source
Aravind Panicker

Softvision College: Indore, Madhya Pradesh, IN

2018-05-01 to 2021-06-15 | B.Sc. Biotechnology (Biotechnology)
Education
Source: Self-asserted source
Aravind Panicker

Works (6)

Epigenetic dysregulation in cancers by isocitrate dehydrogenase 2 (IDH2)

2024 | Book chapter
DOI: 10.1016/bs.apcsb.2023.12.012
Contributors: Anuraj Nayarisseri; Srinivas Bandaru; Arshiya Khan; Khushboo Sharma; Anushka Bhrdwaj; Manmeet Kaur; Dipannita Ghosh; Ishita Chopra; Aravind Panicker; Abhishek Kumar et al.
Source: check_circle
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Identification of Potential Inhibitors of SARS-CoV-2 Using Machine Learning, Molecular Docking and MD Simulation

Research Square
2024 | Other
DOI: 10.21203/rs.3.rs-4323991/v1
EID:

2-s2.0-85196568254
Contributors: Nayarisseri, A.; Bhrdwaj, A.; Khan, A.; Sharma, K.; Shaheen, U.; Panwar, U.; Natchimuthu, V.; Dey, T.; Kumar, A.; Panicker, A. et al.
Source: Self-asserted source
Aravind Panicker via Scopus - Elsevier

Potential inhibitors of VEGFR1, VEGFR2, and VEGFR3 developed through Deep Learning for the treatment of Cervical Cancer

Scientific Reports
2024 | Journal article
DOI: 10.1038/s41598-024-63762-w
EID:

2-s2.0-85195624712

Part of ISSN: 20452322
Contributors: Nayarisseri, A.; Abdalla, M.; Joshi, I.; Yadav, M.; Bhrdwaj, A.; Chopra, I.; Khan, A.; Saxena, A.; Sharma, K.; Panicker, A. et al.
Source: Self-asserted source
Aravind Panicker via Scopus - Elsevier

In silico and in vivo methods for designing antibiofilm agents against Pseudomonas aeruginosa and Staphylococcus aureus

Microbial Biofilms: Challenges and Advances in Metabolomic Study
2023 | Book chapter
Part of DOI: 10.1016/B978-0-323-95715-1.00017-0
EID:

2-s2.0-85166079182

ISBN: 9780323957151 9780323957168
Contributors: Tamba, S.; Panicker, A.; Jobby, R.; Rajasekharan, S.K.; Shanmugam, K.; Ravichandran, V.
Source: Self-asserted source
Aravind Panicker via Scopus - Elsevier

Structure-Based Virtual Screening, Molecular Docking, MolecularDynamics Simulation of VEGF Inhibitors for the Clinical Treatment of Ovarian Cancer

Research Square
2021 | Other
DOI: 10.21203/rs.3.rs-840860/v1
EID:

2-s2.0-85168025206
Contributors: Mukherjee, S.; Abdalla, M.; Yadav, M.; Madhavi, M.; Khandelwal, R.; Prajapati, L.; Panicker, A.; Chaudhary, A.; Al-Brakati, A.; Hussain, T. et al.
Source: Self-asserted source
Aravind Panicker via Scopus - Elsevier

Achromobacter xylosoxidans strain EMBS83 16S ribosomal RNA gene, partial sequence

Nucleotide, NCBI
2019-08-20 | Dataset | Investigation
OTHER-ID: MN335221
Contributors: Ravina Khandelwal; Aravind Panicker; Anuraj Nayarisseri
Source: Self-asserted source
Aravind Panicker
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