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Researcher, Computational Biology, Machine learning
India, Belgium

Biography

As a highly skilled cheminformatics researcher and PhD student at the University of Liege in Belgium, I specialize in QSRR modelling, computational biology, and in-silico drug discovery. With a gold medal in MTech in Bioinformatics from Delhi Technological University in India, I bring a wealth of knowledge and expertise to my research. My extensive experience conducting cutting-edge research in bioinformatics is evident through my numerous publications. I am committed to making a meaningful impact on society by conducting innovative research in drug discovery, bioinformatics, and cheminformatics. My expertise in QSRR modelling allows me to effectively analyse complex biological and chemical data and make meaningful predictions, potentially accelerating drug discovery and developing new therapeutic interventions. I am eager to continue my pursuit of innovative research contributions to the advancement of the scientific community and society.

Activities

Education and qualifications (2)

University of Liege: Liege, Belgium, BE

2020-04 to 2023-04 | PhD (Pharmaceutical Sciences)
Education
Source: Self-asserted source
Priyanka Kumari

Delhi Technological University: Delhi, Delhi, IN

2015-08-15 to 2017-08-01 (Biotechnology)
Qualification
Source: Self-asserted source
Priyanka Kumari

Professional activities (3)

PREMIER Biosoft: Indore, Madhya Pradesh, IN

2017-08-01 to 2018-01-31 | Bioinoformatics Analyst (Genomics)
Invited position
Source: Self-asserted source
Priyanka Kumari

University of Liege: Liege, BE

2017-02-01 to 2017-03-03 | Research Intern (Life Science)
Invited position
Source: Self-asserted source
Priyanka Kumari

Indian Institute of Science Education and Research Bhopal: Bhopal, Madhya Pradesh, IN

2014-09-01 to 2015-02-01 | Junior Research Fellow (Biological Sciences)
Invited position
Source: Self-asserted source
Priyanka Kumari

Funding (1)

Functional annotation of hypothetical proteins of Lactobacillus rhamnosus: An in-silico approach

2017-06 to 2017-06 | Grant
AICTE (New Delhi, IN)
GRANT_NUMBER:

F.No. 104/Acad/PG/International con./2017-2018/6124

Source: Self-asserted source
Priyanka Kumari

Works (11)

Transfer Learning Approach to Multitarget QSRR Modeling in RPLC

Journal of Chemical Information and Modeling
2024-10-14 | Journal article
Contributors: Priyanka Kumari; Madureira Sanches Ribeiro Guilherme; Pratyush Choudhary; Thomas Van Laethem; Marianne Fillet; Phillipe Hubert; Pierre Yves Sacre; Cedric Hubert
Source: check_circle
Crossref

The Osteoblast Transcriptome in Developing Zebrafish Reveals Key Roles for Extracellular Matrix Proteins Col10a1a and Fbln1 in Skeletal Development and Homeostasis

Biomolecules
2024-01-23 | Journal article
Part of ISSN: 2218-273X
Contributors: ratish raman; Mishal Antony; Renaud Nivelle; Arnaud Lavergne; Jérémie Zappia; Gustavo Guerrero-Limón; Caroline Caetano da Silva; Priyanka Kumari; Jerry Maria Sojan; christian degueldre et al.
Source: Self-asserted source
Priyanka Kumari

A multi-target QSRR approach to model retention times of small molecules in RPLC

Journal of Pharmaceutical and Biomedical Analysis
2023-11 | Journal article
Contributors: Priyanka Kumari; Thomas Van Laethem; Diane Duroux; Marianne Fillet; Phillipe Hubert; Pierre-Yves Sacré; Cédric Hubert
Source: check_circle
Crossref

Quantitative Structure Retention-Relationship Modeling: Towards an Innovative General-Purpose Strategy

Molecules
2023-02-10 | Journal article
Contributors: Priyanka Kumari; Thomas Van Laethem; Philippe Hubert; Marianne Fillet; Pierre-Yves Sacré; Cédric Hubert
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

User-Driven Strategy for In Silico Screening of Reversed-Phase Liquid Chromatography Conditions for Known Pharmaceutical-Related Small Molecules

Molecules
2022-11-28 | Journal article
Contributors: Thomas Van Laethem; Priyanka Kumari; Bruno Boulanger; Philippe Hubert; Marianne Fillet; Pierre-Yves Sacré; Cédric Hubert
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A pharmaceutical-related molecules dataset for reversed-phase chromatography retention time prediction built on combining pH and gradient time conditions

Data in Brief
2022-06 | Journal article
Contributors: Thomas Van Laethem; Priyanka Kumari; Philippe Hubert; Marianne Fillet; Pierre-Yves Sacré; Cédric Hubert
Source: check_circle
Crossref

Discovery of new drug indications for COVID-19: A drug repurposing approach

PLOS ONE
2022-05-24 | Journal article
Contributors: Priyanka Kumari; Jinn-Moon Yang; Bikram Pradhan; Maria Koromina; George P. Patrinos; Kristel Van Steen
Source: check_circle
Crossref

Prediction of Human Drug Targets and Their Interactions Using Machine Learning Methods: Current and Future Perspectives

Computational Drug Discovery and Design
2018-03-29 | Book chapter
Source: Self-asserted source
Priyanka Kumari

Extensive computational analysis of chromosome 11

International Journal of Bioinformatics Research and Applications
2017-08-08 | Journal article
Source: Self-asserted source
Priyanka Kumari

Functional Annotation of Hypothetical proteins of Lactobacillus rhamnosus: An In Silico Approach

ICBBS '17 Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science
2017-06-24 | Conference paper
Source: Self-asserted source
Priyanka Kumari

Identification of Human Drug Targets Using Machine Learning Algorithms

Computers in Biology and Medicine
2015-01-01 | Journal article
Source: Self-asserted source
Priyanka Kumari

Peer review (6 reviews for 3 publications/grants)

Review activity for Biology. (1)
Review activity for Brain connectivity. (3)
Review activity for Molecules. (2)