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Arkaprava Banerjee
Arkaprava Banerjee
Senior Research Fellow, Dept. of Pharmaceutical Technology, Jadavpur University, Kolkata, India
在 jadavpuruniversity.in 的电子邮件经过验证 - 首页
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First report of q-RASAR modeling towards an approach of easy interpretability and efficient transferability
A Banerjee, K Roy
Molecular Diversity 26, 2847-2862, 2022
692022
A novel quantitative read-across tool designed purposefully to fill the existing gaps in nanosafety data
M Chatterjee, A Banerjee, P De, A Gajewicz-Skretna, K Roy
Environmental Science: Nano 9 (1), 189-203, 2022
682022
Quantitative Predictions from Chemical Read-Across and Their Confidence Measures
A Banerjee, M Chatterjee, P De, K Roy
Chemometrics and Intelligent Laboratory Systems 227, 104613, 2022
442022
On some novel similarity-based functions used in the ML-based q-RASAR approach for efficient quantitative predictions of selected toxicity end points
A Banerjee, K Roy
Chemical Research in Toxicology 36 (3), 446-464, 2023
332023
Quick and Efficient Quantitative Predictions of Androgen Receptor Binding Affinity for Screening Endocrine Disruptor Chemicals Using 2D-QSAR and Chemical Read-Across
A Banerjee, P De, V Kumar, S Kar, K Roy
Chemosphere 309, 136579, 2022
322022
Prediction-inspired intelligent training for the development of classification read-across structure–activity relationship (c-RASAR) models for organic skin sensitizers …
A Banerjee, K Roy
Chemical Research in Toxicology 36 (9), 1518-1531, 2023
262023
Machine-learning-based similarity meets traditional QSAR:“q-RASAR” for the enhancement of the external predictivity and detection of prediction confidence outliers in an hERG …
A Banerjee, K Roy
Chemometrics and Intelligent Laboratory Systems 237, 104829, 2023
232023
Efficient predictions of cytotoxicity of TiO2-based multi-component nanoparticles using a machine learning-based q-RASAR approach
A Banerjee, S Kar, S Pore, K Roy
Nanotoxicology 17 (1), 78-93, 2023
222023
A machine learning q‐RASPR approach for efficient predictions of the specific surface area of perovskites
A Banerjee, A Gajewicz‐Skretna, K Roy
Molecular Informatics 42 (4), 2200261, 2023
192023
Machine learning-based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees
M Chatterjee, A Banerjee, S Tosi, E Carnesecchi, E Benfenati, K Roy
Journal of Hazardous Materials 460, 132358, 2023
172023
Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic …
A Banerjee, K Roy
Environmental Science: Processes & Impacts 25 (10), 1626-1644, 2023
92023
Machine learning-based q-RASPR modeling of power conversion efficiency of organic dyes in dye-sensitized solar cells
S Pore, A Banerjee, K Roy
Sustainable Energy & Fuels 7 (14), 3412-3431, 2023
82023
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease
V Kumar, A Banerjee, K Roy
Chemometrics and Intelligent Laboratory Systems 245, 105049, 2024
72024
Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction
V Kumar, A Banerjee, K Roy
Journal of Chemical Information and Modeling 64 (10), 4298-4309, 2024
42024
Machine learning-based q-RASPR predictions of detonation heat for nitrogen-containing compounds
SK Pandey, A Banerjee, K Roy
Materials Advances 4 (22), 5797-5807, 2023
42023
Prediction-inspired intelligent training for the development of c-RASAR models for organic skin sensitizers: Assessment of classification error rate from novel similarity …
A Banerjee, K Roy
22023
Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE …
S Pore, A Banerjee, K Roy
Molecular Informatics 43 (4), e202300210, 2024
12024
Tools, Applications, and Case Studies (q-RA and q-RASAR)
K Roy, A Banerjee
q-RASAR: A Path to Predictive Cheminformatics, 51-88, 2024
12024
Quantitative Read-Across (q-RA) and Quantitative Read-Across Structure–Activity Relationships (q-RASAR)—Genesis and Model Development
K Roy, A Banerjee
q-RASAR: A Path to Predictive Cheminformatics, 31-49, 2024
12024
ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data
A Banerjee, K Roy
Environmental Science: Processes & Impacts, 2024
12024
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