Anju Sharma

发表

Computational Drug Designing and Development: An insight

R. Tiwari, Rajnish Kumar, Anju Sharma, 2016 .

DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy

A. Alexiou, M. Kamal, G. Ashraf, 2022, Frontiers in Neuroscience.

Sense of Smell: Structural, Functional, Mechanistic Advancements and Challenges in Human Olfactory Research

P. Varadwaj, Imlimaong Aier, R. Semwal, 2019, Current neuropharmacology.

QSAR studies of breast carcinoma using Artificial neural network, Bayesian classifier and Multiple linear regression

Rajnish Kumar, Anju Sharma, G. Singh, 2017 .

Hydroxychloroquine in COVID-19: therapeutic promises, current status, and environmental implications

L. Aleya, J. Srivastava, M. H. Siddiqui, 2021, Environmental Science and Pollution Research.

Therapeutic promises of Chlorogenic acid with special emphasis on its anti-obesity property.

J. Srivastava, Rajnish Kumar, Anju Sharma, 2019, Current molecular pharmacology.

odorants, olfactory receptors and odorant–receptor interactions

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2021 .

Developing human olfactory network and exploring olfactory receptor-odorant interaction

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2022, Journal of biomolecular structure & dynamics.

OBPred: feature-fusion-based deep neural network classifier for odorant-binding protein prediction

Pritish Kumar Varadwaj, Anju Sharma, Rajnish Kumar, 2021, Neural Computing and Applications.

Mitoxantrone: an agent with promises for anticancer therapies

P. Varadwaj, K. Misra, Rajnish Kumar, 2010 .

Stem cells: An overview with respect to cardiovascular and renal disease

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2010, Journal of natural science, biology, and medicine.

Application of microarray in breast cancer: An overview

Rajesh Kumar Tiwari, Anju Sharma, Rajnish Kumar, 2012, Journal of pharmacy & bioallied sciences.

Smelling the Disease: Diagnostic Potential of Breath Analysis

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2023, Molecular Diagnosis & Therapy.

SMILES to Smell: Decoding the Structure-Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach

Pritish Kumar Varadwaj, Anju Sharma, Rajnish Kumar, 2021, J. Chem. Inf. Model..

An Overview of Psoriasis with Respect to its Protein Targets

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2010 .

In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocarcinoma

P. Varadwaj, Imlimaong Aier, R. Semwal, 2020, Journal of biomolecular structure & dynamics.

INSILICO STRUCTURE BASED DRUG DESIGNING OF A POTENT INHIBITOR FOR HUMAN NOTCH1 -A THERAPEUTIC TARGET FOR LYMPHOBLASTIC LEUKEMIA

Vinay Randhawa, Harpreet Singh, Anju Sharma, 2011 .

OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant–receptor interactions

P. Varadwaj, Rajnish Kumar, Anju Sharma, 2021, Nucleic Acids Res..

A systematic assessment of statistics, risk factors, and underlying features involved in pancreatic cancer.

Rahul Semwal, Pritish Kumar Varadwaj, Imlimaong Aier, 2019, Cancer epidemiology.

DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors

Rahul Semwal, Anju Sharma, Rajnish Kumar, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Blood brain barrier permeability prediction using machine learning techniques: An update.

M. H. Siddiqui, Rajnish Kumar, Anju Sharma, 2019, Current pharmaceutical biotechnology.

Classification of oral bioavailability of drugs by machine learning approaches: a comparative study

Pritish Kumar Varadwaj, Rajnish Kumar, Ghulam Md Ashraf, 2012 .

A prediction model for oral bioavailability of drugs using physicochemical properties by support vector machine

Pritish Kumar Varadwaj, Anju Sharma, Rajnish Kumar, 2011, Journal of natural science, biology, and medicine.

QSAR study of curcumine derivatives as HIV-1 integrase inhibitors.

Pawan Gupta, N. Roy, P. Garg, 2013, Current computer-aided drug design.

Can we predict blood brain barrier permeability of ligands using computational approaches?

Rajesh Kumar Tiwari, Rajnish Kumar, Anju Sharma, 2013, Interdisciplinary Sciences: Computational Life Sciences.

Artificial intelligence in intestinal polyp and colorectal cancer prediction.

P. Garg, Rajnish Kumar, Anju Sharma, 2023, Cancer letters.

A comparative study of support vector machine, artificial neural network and Bayesian classifier for mutagenicity prediction

Pritish Kumar Varadwaj, Rajnish Kumar, Ghulam Md Ashraf, 2011, Interdisciplinary Sciences: Computational Life Sciences.

Development of Machine Learning based blood-brain barrier permeability prediction models using physicochemical properties, MACCS and substructure fingerprints

Mohammed Haris Siddiqui, Anju Sharma, Rajnish Kumar, 2021 .

Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images

P. Garg, Rajnish Kumar, Anju Sharma, 2023, Int. J. Medical Informatics.

Artificial Intelligence in De Novo Drug Design: Are we still there?.

A. Alexiou, G. Ashraf, Rajnish Kumar, 2022, Current topics in medicinal chemistry.

Recent Applications of Artificial Intelligence in detection of Gastrointestinal, Hepatic and Pancreatic Diseases.

Farhat Ullah Khan, N. Poddar, Rajnish Kumar, 2021, Current medicinal chemistry.

Structure prediction and analysis of Human Dopamine Receptor-1

Rajnish Kumar, Anju Sharma, T. Shandilya, 2016 .

A deep neural network–based approach for prediction of mutagenicity of compounds

Farhat Ullah Khan, M. Kamal, G. Ashraf, 2021, Environmental Science and Pollution Research.

Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms.

Rajesh Kumar Tiwari, Anju Sharma, Mohammed Haris Siddiqui, 2017, Combinatorial chemistry & high throughput screening.