Arkaprava Banerjee

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Ankylosing Spondylitis

Machine Learning

Systemic Lupus Erythematosus

Top Venues

Chemical research in toxicology

Environmental science. Processes & impacts

Molecular informatics

Journal of chemical information and modeling

This page only lists publications with an associated author ORCID identifier.

Publications

Arkaprava Banerjee, Kunal Roy
The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset. Scientific reports 14 (1) (2024)
Arkaprava Banerjee, Supratik Kar, Kunal Roy, Grace Patlewicz, Nathaniel Charest, Emilio Benfenati, Mark T D Cronin
Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learning. Critical reviews in toxicology (2024)
Arkaprava Banerjee, Kunal Roy
ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data. Environmental science. Processes & impacts 26 (6) (2024)
Vinay Kumar, Arkaprava Banerjee, Kunal Roy
Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction. Journal of chemical information and modeling (2024)
Vinay Kumar, Arkaprava Banerjee, Kunal Roy
Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction. Journal of chemical information and modeling 64 (10) (2024)
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs). Molecular informatics (2024)
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs). Molecular informatics 43 (4) (2024)
Arkaprava Banerjee, Kunal Roy
ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data. Environmental science. Processes & impacts (2024)
Arkaprava Banerjee, Kunal Roy
Prediction-Inspired Intelligent Training for the Development of Classification Read-across Structure-Activity Relationship (c-RASAR) Models for Organic Skin Sensitizers: Assessment of Classification Error Rate from Novel Similarity Coefficients. Chemical research in toxicology (2023)
Arkaprava Banerjee, Kunal Roy
Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic chemicals. Environmental science. Processes & impacts (2023)
Arkaprava Banerjee, Kunal Roy
On Some Novel Similarity-Based Functions Used in the ML-Based q-RASAR Approach for Efficient Quantitative Predictions of Selected Toxicity End Points. Chemical research in toxicology 36 (3) (2023)
Arkaprava Banerjee, Kunal Roy
On Some Novel Similarity-Based Functions Used in the ML-Based q-RASAR Approach for Efficient Quantitative Predictions of Selected Toxicity End Points. Chemical research in toxicology 36 (3) (2023)
Arkaprava Banerjee, Agnieszka Gajewicz-Skretna, Kunal Roy
A machine learning q-RASPR approach for efficient predictions of the specific surface area of perovskites. Molecular informatics (2023)
Arkaprava Banerjee, Kunal Roy
On Some Novel Similarity-Based Functions Used in the ML-Based q-RASAR Approach for Efficient Quantitative Predictions of Selected Toxicity End Points. Chemical research in toxicology (2023)
Arkaprava Banerjee, Supratik Kar, Souvik Pore, Kunal Roy
Efficient predictions of cytotoxicity of TiO 2 -based multi-component nanoparticles using a machine learning-based q-RASAR approach. Nanotoxicology (2023)
Arkaprava Banerjee, Kunal Roy
On Some Novel Similarity-Based Functions Used in the ML-Based q-RASAR Approach for Efficient Quantitative Predictions of Selected Toxicity End Points. Chemical research in toxicology 36 (3) (2023)
Arkaprava Banerjee, Kunal Roy
First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability. Molecular diversity 26 (5) (2022)