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Chandan Verma

vidwan id: 422787

Associate Professor, Department of Mathematics and Computer Applications
Maulana Azad National Institute of Technology

Expertise

  • Mathematics

Publications

Total Articles 50
Books 0
Proceedings 0

Publications

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Scopus

Citations 426
h-index 8

CrossRef

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Citations 290
h-index 5
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Professional Recognition

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Bio

my area of research Computational Mathematics , financial mathematics , data science and computational biology

Personal Details

  • Associate Professor , Maulana Azad National Institute of Technology
  • Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
Ph.D
Other Institute 2012
Associate Professor Feb 2003 – Present
Maulana Azad National Institute of Technology | Department of Mathematics and Computer Applications
Associate Professor Feb 2003 – Feb 2003
Maulana Azad National Institute of Technology | Department of Mathematics and Computer Applications

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Research Scholar

Co-Authors (8)

Manoj

Dr Manoj Jha

Maulana Azad National Institute of Technology

Madhvi

Dr Madhvi Shakya

Maulana Azad National Institute of Technology

Nazmiara

Dr Nazmiara Sabnam

Presidency University

Rabia

Dr Rabia Musheer

VIT Bhopal University, Sehore

Namita

Dr Namita Shrivastava

Maulana Azad National Institute of Technology

Chandan Kumar

Dr Chandan Kumar Verma

Maulana Azad National Institute of Technology

Vishnu Priya

Dr Vishnu Priya R.

National Institute of Technology Tiruchirappalli

Usha

Dr Usha Chouhan

Maulana Azad National Institute of Technology

Scholarly Work

Scaffold hopping, Pharmacophore modeling, Virtual screening and molecular simulation for the identification of novel and selective inhibitors of Candida albicans NMyristoyltransferase towards antifungal drug discovery using computational drug repurposing

Funding Agency: ICMRI ,New Delhi

PI

1,752,000

2019 - 2022

Completed

DIMENSION REDUCTION FOR CLASSIFICATION OF MICROARRAY DATA USING MACHINE LEARNING APPROACH

University MANIT BHOPAL
Year 2017

COMPUTATIONAL STUDIES ON PROTEIN TARGETS INVOLVED IN CANCER PROGRESSION AND IN-SILICO IDENTIFICATION OF NOVEL ANTI-CANCER AGENTS

University MANIT BHOPAL
Year 2018

BIOINFORMATIC APPROACHES FOR IDENTIFICATION OF POTENTIAL THERAPEUTIC TARGETS IN MYCOBACTERIUM TUBERCULOSIS

University MANIT BHOPAL
Year 2019

ANALYSIS OF OPTION PRICING USING FRACTIONAL METHODS ON INDIAN STOCK MARKET DATA

University MANIT BHOPAL
Year 2019

MACHINE LEARNING TECHNIQUES FOR PREDICTING OPTION PRICES

University MANIT BHOPAL
Year 2021

Insilco evaluation and analysis Immunodominant Epitopes for Vaccine design

University MANIT BHOPAL
Year 0

Object Tracking and Analysis through motion in videos using Deep hybrid learning

University MANIT BHOPAL
Year 0

Financial Mathematics

University MANIT BHOPAL
Year 0

Financial Mathematics

University MANIT BHOPAL
Year 0
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Scholarly Publications

Identification of novel inhibitors against Cyclin Dependent Kinase 9/Cyclin T1 complex as: Anti cancer agent

Open Access
Article

Interpretable Model for Antibiotic Resistance Prediction in Bacteria using Deep Learning

Open Access
Article

Aiming human bocavirus VP-2 protein via combination of pharmacophore, molecular docking and ADME-toxicity methodologies for the identification of optimized and potent drug candidate.

Open Access
Article
Authors: Soni N.K.;Bankar A.;Verma N.;Shrivastava N.;Verma C.K.
3

Aiming human bocavirus VP-2 protein via combination of pharmacophore, molecular docking and ADME-toxicity methodologies for the identification of optimized and potent drug candidate.

Open Access
Article
Authors: Soni, N.K.,Bankar, A., Verma, N.,Shrivastava,N.; Verma, C.K.

Artificial neural network classification of microarray data using new hybrid gene selection method

Open Access
Article

Bioactivity, Molecular Docking, and Pharmacophore Modeling of Mycobacterium tuberculosis: A Study Targeting the Microarray Data of the Microbe

Open Access
Article

Identification of novel inhibitors against Cyclin Dependent Kinase 9/Cyclin T1 complex as: Anti cancer agent

Open Access
Article

Molecular docking and in silico ADMET study reveals 3-(5-{[4-(aminomethyl) piperidin-1-yl] methyl}-1h-indol-2-yl)-1h-indazole-6-carbonitrile as a potential inhibitor of cancer Osaka thyroid kinase

Open Access
Article