Anju Sharma

About Anju Sharma

Anju Sharma, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Institute of Information Technology Allahabad, specializes in the field of Bioinformatics, Artificial Intelligence, Quantitative Structure Activity Relationship, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating molecular features that influence blood− brain barrier permeability of compounds

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm

Artificial intelligence in intestinal polyp and colorectal cancer prediction

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

Smelling the disease: Diagnostic potential of breath analysis

FGFR1Pred: an artificial intelligence-based model for predicting fibroblast growth factor receptor 1 inhibitor

E-nose: a low-cost fruit ripeness monitoring system

AndroPred: an artificial intelligence-based model for predicting androgen receptor inhibitors

Anju Sharma Information

University

Position

Research Scholar

Citations(all)

961

Citations(since 2020)

740

Cited By

376

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

Indian Institute of Information Technology Allahabad

Google Scholar

View Google Scholar Profile

Anju Sharma Skills & Research Interests

Bioinformatics

Artificial Intelligence

Quantitative Structure Activity Relationship

Machine Learning

Top articles of Anju Sharma

Title

Journal

Author(s)

Publication Date

Investigating molecular features that influence blood− brain barrier permeability of compounds

International Journal of Academic Medicine

Deeksha Saxena

Anju Sharma

Mohammed Haris Siddiqui

Rajnish Kumar

2023/7/1

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm

Journal of Biomolecular Structure and Dynamics

Pankaj Tyagi

Anju Sharma

Rahul Semwal

Uma Shanker Tiwary

Pritish Kumar Varadwaj

2023/9/13

Artificial intelligence in intestinal polyp and colorectal cancer prediction

Anju Sharma

Rajnish Kumar

Garima Yadav

Prabha Garg

2023/5/19

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

International Journal of Medical Informatics

Anju Sharma

Rajnish Kumar

Prabha Garg

2023/9/1

Smelling the disease: Diagnostic potential of breath analysis

Anju Sharma

Rajnish Kumar

Pritish Varadwaj

2023/5

FGFR1Pred: an artificial intelligence-based model for predicting fibroblast growth factor receptor 1 inhibitor

Molecular Diversity

Ekambarapu Sree Charan

Anju Sharma

Hardeep Sandhu

Prabha Garg

2023/8/11

E-nose: a low-cost fruit ripeness monitoring system

Journal of Agricultural Engineering

Pankaj Tyagi

Rahul Semwal

Anju Sharma

Uma Shanker Tiwary

Pritish Varadwaj

2023

AndroPred: an artificial intelligence-based model for predicting androgen receptor inhibitors

Journal of Biomolecular Structure and Dynamics

Rohit Gagare

Anju Sharma

Prabha Garg

2023/7/21

TNFipred: a classification model to predict TNF-α inhibitors

Molecular Diversity

Niharika K Prabha

Anju Sharma

Hardeep Sandhu

Prabha Garg

2023/7/3

Developing human olfactory network and exploring olfactory receptor-odorant interaction

Journal of Biomolecular Structure and Dynamics

Anju Sharma

Rajnish Kumar

Pritish Varadwaj

2023/12/12

Artificial Intelligence in De Novo Drug Design: Are We Still There?

Current Topics in Medicinal Chemistry

Rajnish Kumar

Anju Sharma

Alexiou Athanasios

Ghulam Ashraf

2022/10

Decoding seven basic odors by investigating pharmacophores and molecular features of odorants

Current Bioinformatics

Anju Sharma

Rajnish Kumar

Pritish K Varadwaj

2022/10/1

DeePred-BBB: A blood brain barrier permeability prediction model with improved accuracy

Frontiers in neuroscience

Rajnish Kumar

Anju Sharma

Athanasios Alexiou

Anwar L Bilgrami

Mohammad Amjad Kamal

...

2022/5/3

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

Nucleic Acids Research

Anju Sharma

Bishal Kumar Saha

Rajnish Kumar

Pritish Kumar Varadwaj

2022/1/7

Recent applications of artificial intelligence in the detection of gastrointestinal, hepatic and pancreatic diseases

Rajnish Kumar

Farhat U Khan

Anju Sharma

Izzatdin Aziz

Nitesh Kumar Poddar

2022/1/1

Bibliometric analysis of rumor detection via web of science from 1989 to 2021

Concurrency and Computation: Practice and Experience

Neetu Rani

Amit Kumar Bhardwaj

Prasenjit Das

Anju Sharma

2022/11/15

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

Journal of Biomolecular Structure and Dynamics

Imlimaong Aier

Rahul Semwal

Anju Sharma

Pritish Kumar Varadwaj

2021/9/2

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

Environmental Science and Pollution Research

Rajnish Kumar

Farhat Ullah Khan

Anju Sharma

Mohammed Haris Siddiqui

Izzatdin BA Aziz

...

2021/9

Development of machine learning based blood-brain barrier permeability prediction models using physicochemical properties, maccs and substructure fingerprints

Current Bioinformatics

Deeksha Saxena

Anju Sharma

Mohammed H Siddiqui

Rajnish Kumar

2021/7/1

SMILES to smell: decoding the structure–odor relationship of chemical compounds using the deep neural network approach

Journal of Chemical Information and Modeling

Anju Sharma

Rajnish Kumar

Shabnam Ranjta

Pritish Kumar Varadwaj

2021/1/15

See List of Professors in Anju Sharma University(Indian Institute of Information Technology Allahabad)