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Nikhil Pillai

Observed name: Nikhil Sasidharan Pillai
ORCID: 0000-0003-3272-0603
Observed ORCID: 0000-0003-3272-0603
OpenAlex ID: A5083173048
Machine Learning guided early drug discovery of small molecules
2022 · Nikhil Pillai, Aparajita Dasgupta, et al. · Drug Discovery Today · 75
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Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans
2025 · Xuelian Jia, Donato Teutonico, et al. · Journal of Medicinal Chemistry · 31
Machine learning framework to predict pharmacokinetic profile of small molecule drugs based on chemical structure
2024 · Nikhil Pillai, Alexandra Abos, et al. · Clinical and Translational Science · 26
Development of a genetic algorithm and NONMEM workbench for automating and improving population pharmacokinetic/pharmacodynamic model selection
2021 · Mohamed Ismail, Mark Sale, et al. · Journal of Pharmacokinetics and Pharmacodynamics · 25
Application of machine learning in combination with mechanistic modeling to predict plasma exposure of small molecules
2023 · Panteleimon D. Mavroudis, Donato Teutonico, et al. · Frontiers in Systems Biology · 22
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Estimating parameters of nonlinear dynamic systems in pharmacology using chaos synchronization and grid search
2019 · Nikhil Pillai, Sorell L. Schwartz, et al. · Journal of Pharmacokinetics and Pharmacodynamics · 22
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Model-Guided Antipsychotic Dose Reduction in Schizophrenia
2019 · Chisa Ozawa, Robert R. Bies, et al. · Journal of Clinical Psychopharmacology · 18
A minimal physiologically based pharmacokinetic model to study the combined effect of antibody size, charge, and binding affinity to FcRn/antigen on antibody pharmacokinetics
2024 · Krutika Patidar, Nikhil Pillai, et al. · Journal of Pharmacokinetics and Pharmacodynamics · 11
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Circadian patterns of hallucinatory experiences in patients with schizophrenia: Potentials for chrono-pharmacology
2019 · Teruki Koizumi, Takefumi Suzuki, et al. · Journal of Psychiatric Research · 8
Translational minimal physiologically based pharmacokinetic model for transferrin receptor-mediated brain delivery of antibodies
2025 · Morris Muliaditan, Tamara J. van Steeg, et al. · mAbs · 7
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Chaos synchronization and Nelder-Mead search for parameter estimation in nonlinear pharmacological systems: Estimating tumor antigenicity in a model of immunotherapy
2018 · Nikhil Pillai, Morgan Craig, et al. · Progress in Biophysics and Molecular Biology · 7
Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics
2025 · Krutika Patidar, Nikhil Pillai, et al. · Scientific Reports · 5
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A multi‐model approach to predict efficacious clinical dose for an anti‐TGF ‐β antibody ( GC2008 ) in the treatment of osteogenesis imperfecta
2022 · Panteleimon D. Mavroudis, Nikhil Pillai, et al. · CPT Pharmacometrics & Systems Pharmacology · 4
Machine-learning-enabled modeling of pharmacokinetics and pharmacodynamics
2026 · Yorgos M. Psarellis, Nikhil Pillai, et al. · Drug Discovery Today · 3
An IQ Consortium cross-industry survey and perspective on AI/ML adoption in translational and ADME sciences
2026 · Armina Abbasi, Alba Gonzalez-Franquesa, et al. · Drug Discovery Today
DDIapp —A Web‐Based Application for Static Drug–Drug Interaction Assessment
2026 · Hirotaka Watase, Sylvie Klieber, et al. · CPT Pharmacometrics & Systems Pharmacology
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A Modular Machine Learning Framework for Small-Molecule Drug Repurposing Based on Organ Permeability, Target Binding, and Biomarker Modulation
2026 · Harkirat Singh Arora, Saroj Dhakal, et al. · bioRxiv (Cold Spring Harbor Laboratory)
DDIapp - A web-based application for static drug-drug interaction risk assessment.
2026 · Saroj Dhakal, Hirotaka Watase, et al.
From in vitro to in vivo via Machine Learning: Predicting preclinical pharmacokinetics for small molecules in the data-scarce regime
2026 · Yorgos Psarellis, Abhinav Gupta, et al.
Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans
2026 · Xuelian Jia, Donato Teutonico, et al.
An IQ Consortium Perspective on Opportunities and Challenges of AI/ML Adoption in Translational and ADME Sciences
2026 · Armina Abbasi, Alba Gonzalez-Franquesa, et al. · SSRN Electronic Journal
QPRapp: A Web‐Based Platform for PK/PD Simulations and Early Feasibility Analysis
2025 · Saroj Dhakal, Yorgos M. Psarellis, et al. · CPT Pharmacometrics & Systems Pharmacology
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Small molecule exposure prediction (intravenous (IV) and oral (PO)) using Machine learning (ML) in combination with mechanistic modeling.
2025 · Saroj Dhakal, Nikhil Pillai, et al.
Predicting pharmacokinetic profile of small molecule drugs based on chemical structure using machine learning.
2024 · Nikhil Pillai, Alexandra Abos, et al.
A minimal PBPK model to study the effect of antibody size, charge, and binding affinity to FcRn/antigen on antibody PK
2024 · Krutika Patidar, Nikhil Pillai, et al.
Works count: 26
Citation count: 264
H-index: 8
I10-index: 8
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