Muthukumarasamy Karthikeyan , Ph.D.,
[LinkedIn] [LinkedIn Presentations] [Wikipedia] [Google Scholar] [Academic Site (Official CSIR-NCL)]
1. |
Name and full correspondence address |
Dr. Muthukumarasamy Karthikeyan Chief Scientist Chemical Engineering and Process Development CSIR-National Chemical Laboratory, Pune |
2. |
Email(s) and contact number(s) |
m.karthikeyan@ncl.res.in, karthincl@gmail.com Lab no.+91-(0)20-25902483 |
3. |
Institution |
CSIR-National Chemical Laboratory |
4. |
Date of Birth |
7th December 1968 |
5. |
Gender (M/F/T) |
M |
Academic Qualification / Fellowships (Overseas):
Sl |
Degree |
Year |
Subject |
University/Institute |
|
B.Sc . Chemistry |
|
|
Tagore
Arts College |
|
M.Sc. Chemistry |
|
MSc Chemistry (First Class) |
Center
for PG Studies |
3 |
Ph.D. Chemistry |
1998 |
Organic Chemistry |
Pune University |
4 |
DST BOYSCAST Fellow |
|
Chemoinformatics |
University of Northcarolina, Chapel Hill, NC, USA |
5 |
DBT Overseas Associate |
|
Chemoinformatics |
University of Northcarolina, Chapel Hill, NC, USA |
6 |
M.Sc. Computer Science |
|
Anna University, MIT Campus, Chennai |
|
7 |
PG Diploma (MBA) |
|
Marketing |
IGNOU, New Delhi |
Ph.D thesis title, Guide's Name,
Institute/Organization/University, Year of Award Title: Photoinduced Electron Transfer (PET) promoted
carboannulation Strategy: Arene Radical Cation in carbon-carbon bond
formation reaction.". Guide Name: Dr Ganesh Pandey, Institute:
CSIR- National Chemical Laboratory , Pune (Degree awarded by Pune University in
1998).
Work experience (in chronological order).
Sl.No |
Positions held (CPC Level) |
Name of the Institute |
From |
To |
1 |
Scientist B (L-10) |
DRDO-ARDE Pune |
18-Mar-1998 |
12-Apr-2000 |
2 |
Scientist C (Scientist) (L-11) |
CSIR-NCL, Pune |
13-Apr-2000 |
12-Apr-2005 |
3 |
Scientist E1 (Senior Scientist) (L-12) |
CSIR-NCL, Pune |
13-Apr-2005 |
12-Apr-2010 |
4 |
Scientist E2 (Pr. Scientist) (L-13) |
CSIR-NCL, Pune |
13-Apr-2010 |
12-Apr-2016 |
5 |
Scientist F (Sr Pr Scientist) (L-13A) |
CSIR-NCL, Pune |
13-Apr-2016 |
12-Apr-2021 |
6 |
Scientist G/Chief Scientist (L-14) |
CSIR-NCL, Pune |
13th April 2021 |
Till date |
Number of PhD Students Guided: 2 (Degree Awarded)
Number of PhD Students (current) 2
Number of Masters Level students and Intenships guided: 18
Number of Bachelor's Degree Students Guided: 32
Areas of research:
Dr M Karthikeyan Research Experience includes Synthetic Organic Chemistry: Multi-step organic synthesis, Carboannulation, Spiro cyclization, chemoinformatics, bioinformatics, artificial intelligence, robotics, Internet of chemical things etc. Computer Programming in C, C++, Java, Python, Machine Learning, High performance computing, Cuda programming, Remote Computing, Cloud Computing, Distributed/Parallel Computing, Image Processing, Big data analytics, Electronic Notebooks (Open source, commercial, Molecular Modeling, Drug Design, Virtual Screen, Polymer Properties Prediction, Design of Novel and Functional materials for strategic sectors using Big Data and Artificial Intelligence (certified LLM Model developer with specialized skills in fine tuning large language models with 80B+ tokens) [click]ApnaGPT Building and programming Humanoids for chemical environments [click]
National and International Fellowships:
1) Qualified CSIR-NET Exam (June 1991 CSIR JRF) PhD Scholar (1992-1997)
2) Qualified GATE-91 (PhD Candidate Qualified @ IIT-Chennai 1991)
3) BOYSCAST Fellowship 2003-04 DST-New Delhi (UNC-Chapel Hill, USA)
4) DBT Overseas Associate 2007-08 DBT-New Delhi (UNC-Chapel Hill, USA)
Awards:
He is a recipient of several prestegious National Awards , International Fellowships and recognitions:
Mission
to Teach IoCT, Chemoinformatics, AI, Tutorials to Lakhs Indian Students (Pl
contact: 9th-12th grades ) Other research projects (Artificial Intelligence in Molecular
Informatics) as Project Investigator (M Karthikeyan) S.No Name
of the project (Project Investigator) Name
of funding agency Date
of commencement Date
of completion 1 Barcoding Chemical Structure (Chemoinformatics) DSIR New Delhi 2002 2004 2 MolTable Portal (Chemoinformatics) DSIR New Delhi 2006 2008 3 Building Cloud Platform for design of new materials DST New Delhi 2009 2013 4 GENESIS (Chemoinformatics,
ML, Drug Discovery) CSIR New Delhi 2012 2017 5 INSPIRE (Chemoinformatics,
ML, Reaction Modeling) CSIR New Delhi 2012 2017 6 Chemoinformatics portal for High energy materials DRDO New
Delhi 2016 2019 7 CSIR Mission Project on Computer Cure Cancer CCCTK [click] CSIR New Delhi 2018 2020 8 CSIR SAGITA for Precision Agriculture CSIR New Delhi 2019 2020 Industry collaboration/Projects on Chemoinformatics/Ioct : 1)
Jubilant Biosys Bangalore (2003-05) 2. Aurigene Oncology Bangalore (2023-24) 3)
IoBIT solutions (2025) Current Research (2025-28): Artificial Intelligence in Chemical
Research, Internet of Chemical Things (IoCT), Humanoids for Chemical Risk
Environment (I4.0, Digital Twins) List of Selected Publications 1.
Intramolecular nucleophilic addition of silylenol ether to photosensitized
electron transfer (PET) generated arene radical cations: a novel non-reagent
based carboannulation reaction Pandey, Ganesh, Krishna, A, Girija, K, M.
Karthikeyan, 1993 Tetrahedron letters 34 6631-6634 2.
Photoinduced electron transfer (PET) promoted carboannulation strategy: arene
radical cation in carbon-carbon bond formation reaction M. Karthikeyan,
1998 CSIR-National Chemical Laboratory, Pune 3.
New intramolecular alpha-arylation strategy of ketones by the reaction of silyl
enol ethers to photosensitized electron transfer generated arene radical
cations: construction of benzannulated and benzospiroannulated compounds
Pandey, Ganesh, M. Karthikeyan, Murugan, A, 1998 The Journal of
Organic Chemistry 63 2867-2872 4.
Searching Video Segments through Transcript, Metadata, and SVG Objects M.
Karthikeyan, Uzagare, Deepak, Krishnan, Subramanian, Yang, Meng,
Marchionini, Gary, 2002 Digital Libraries: People, Knowledge, and Technology:
5th International Conference on Asian Digital Libraries, ICADL 2002 Singapore,
December 11-14, 2002 Proceedings 5 528-528 5.
EPZ-10 catalyzed regioselective transformation of alkenes into iodo ethers,
iodohydrins and 2-iodomethyl-2, 3-dihydrobenzofurans Vishal, A, M.
Karthikeyan 2002 Green Chemistry 4 325-327 6.
Chemoinformatics: a tool for modern drug discovery M. Karthikeyan,
Krishnan, Subramanian, 2002 International journal of information technology and
management 1 69-82 7.
PharmTree 2.1 M. Karthikeyan, 2003 Journal of Chemical
Information and Computer Sciences 43 2194-2195 8.
Encoding and decoding of graphical chemical structure as commercial
barcodes M. Karthikeyan, 2005 GAP, 224026 9.
General melting point prediction based on a diverse compound data set and
artificial neural networks M. Karthikeyan, Glen, Robert C, Bender,
Andreas, 2005 Journal of chemical information and modeling 45 581-590 10.
Encoding and decoding graphical chemical structures as two-dimensional (PDF417)
barcodes M. Karthikeyan, Bender, Andreas, 2005 Journal of chemical
information and modeling 45 572-580 11.
Harvesting chemical information from the Internet using a distributed approach:
ChemXtreme M. Karthikeyan, Krishnan, Subramanian, Pandey, Anil
Kumar, Bender, Andreas, 2006 Journal of chemical information and modeling 46
452-461 12.
Distributed chemical computing using ChemStar: an open source java remote
method invocation architecture applied to large scale molecular data from
PubChem M. Karthikeyan, Krishnan, Subramanian, Pandey, Anil Kumar,
Bender, Andreas, Tropsha, Alexander, 2008 Journal of chemical
information and modeling 48 691-703 13.
ChemTextMiner: An open source tool kit for mining medical literature
abstracts M. Karthikeyan, Pandit, Yogesh, Pandit, Deepak, Nainaru,
Ganesh, Nalwade, Sunil, Renu Vyas, Jain, Esha, 2011 Nature Publishing Group 14.
Chemical Structure Representations and Applications in Computational
Toxicity M. Karthikeyan, Renu Vyas, 2012 Computational Toxicology:
Volume I 167-192 15.
ChemTextMiner: An open source tool kit for mining medical literature abstracts
Jain, Esha, M. Karthikeyan, Pandit, Yogesh, Pandit, Deepak,
Nainaru, Ganesh, Nalwade, Sunil, Renu Vyas, 2012 Nature Precedings 01-Jan 16.
Pharmacokinetic modeling of Caco-2 cell permeability using genetic programming
(GP) method Renu Vyas, Goel, Purva, M. Karthikeyan, Tambe, SS, Kulkarni,
BD, 2014 Letters in Drug Design & Discovery 11 1112-1118 17.
Practical chemoinformatics M. Karthikeyan, Renu Vyas, 2014 Springer 18.
A study of applications of machine learning based classification methods for
virtual screening of lead molecules Renu Vyas, Bapat, Sanket, Jain, Esha, S
Tambe, Sanjeev, M. Karthikeyan, D Kulkarni, Bhaskar, 2015
Combinatorial Chemistry & High Throughput Screening 18 658-672 19.
Role of open source tools and resources in virtual screening for drug
discovery M. Karthikeyan, Renu Vyas, 2015 Combinatorial chemistry
& high throughput screening 18 528-543 20.
Role of chemical reactivity and transition state modeling for virtual
screening M. Karthikeyan, Renu Vyas, S Tambe, Sanjeev, Radhamohan,
Deepthi, D Kulkarni, Bhaskar, 2015 Combinatorial Chemistry & High
Throughput Screening 18 638-657 21.
MegaMiner: a tool for lead identification through text mining using
chemoinformatics tools and cloud computing environment M. Karthikeyan,
Pandit, Yogesh, Pandit, Deepak, Renu Vyas, 2015 Combinatorial Chemistry &
High Throughput Screening 18 591-603 22.
ChemScreener: A distributed computing tool for scaffold based virtual
screening M. Karthikeyan, Pandit, Deepak, Renu Vyas, 2015
Combinatorial chemistry & high throughput screening 18 544-561 23.
Pharmacophore and docking based virtual screening of validated Mycobacterium
tuberculosis targets Renu Vyas, M. Karthikeyan, Nainaru, Ganesh,
Muthukrishnan, Murugan, 2015 Combinatorial Chemistry & High Throughput
Screening 18 624-637 24.
Prediction of Bioactive Compounds Using Computed NMR Chemical Shifts M.
Karthikeyan, Ramanpillai Rajamohanan, Pattuparambil, Renu Vyas, 2015
Combinatorial Chemistry & High Throughput Screening 18 562-576 25.
Design and development of ChemInfoCloud: an integrated cloud enabled platform
for virtual screening M. Karthikeyan, Pandit, Deepak, Bhavasar,
Arvind, Renu Vyas, 2015 Combinatorial Chemistry & High Throughput Screening
18 604-619 26.
Editorial (Thematic Issue: Design and Development of New Chemoinformatics Tools
for Virtual Screening) M. Karthikeyan, Renu Vyas, 2015
Combinatorial Chemistry & High Throughput Screening 18 526-527 27.
Protein Ligand Complex Guided Approach for Virtual Screening M.
Karthikeyan, Pandit, Deepak, Renu Vyas, 2015 Combinatorial Chemistry &
High Throughput Screening 18 577-590 28.
Spirochromone-chalcone conjugates as antitubercular agents: synthesis, bio
evaluation and molecular modeling studies Mujahid, M, Yogeeswari, P, Sriram, D,
Basavanag, UMV, DÃÂaz-Cervantes, Erik, Córdoba-Bahena, Luis, Robles,
Juvencio, Gonnade, RG, M. Karthikeyan, Renu Vyas, 2015 RSC
advances 5 106448-106460 29.
Assessing therapeutic potential of molecules: molecular property diagnostic
suite for tuberculosis (MPDS^ TB)(MPDS TB) Gaur, Anamika Singh, Bhardwaj,
Anshu, Sharma, Arun, John, Lijo, Vivek, M Ram, Tripathi, Neha, Bharatam, Prasad
V, Kumar, Rakesh, Janardhan, Sridhara, Mori, Abhaysinh, M. Karthikeyan 2017 Journal
of Chemical Sciences 129 515-531 30.
Leukemia Cancer Detection Using Image Analytics:(Comparative Study) Belhekar,
Akshay, Gagare, Kumar, Bedse, Ritesh, Bhelkar, Yugandhar, Rajeswari, K, M.
Karthikeyan, 2019 5th International Conference On
Computing, Communication, Control And Automation (ICCUBEA) 01-Jun 31.
Design of novel drug-like molecules using informatics rich secondary
metabolites analysis of Indian medicinal and aromatic plants Karade, Divya,
Vijayasarathi, Durairaj, Kadoo, Narendra, Renu Vyas, Ingle, PK, M.
Karthikeyan, 2020 Combinatorial Chemistry & High
Throughput Screening 23 1113-1131 32.
Bibliometric analysis of named entity recognition for chemoinformatics and
biomedical information extraction of ovarian cancer Khedkar, Vijayshri,
Fernandes, Charlotte, Desai, Devshi, Mansi, R, Chavan, Gurunath, Tidke, Sonali
Kothari, M. Karthikeyan, 2021 Lincoln: Library Philosophy and
Practice, University of Nebraska 01-Oct 33.
Generalized NRTL model for predicting vapor-liquid equilibrium data from
activity coefficient of binary component systems: using molecular descriptors
Behhara, Annishh, Badrinarayanan, Danush Sai Rudrapatti, Rahman, Imran, M.
Karthikeyan, 2022 ACMS 2022, April 14-16, 2022, IIChE,
Kolkata 34.
A Review on Computational Analysis of Big Data in Breast Cancer for Predicting
Potential Biomarkers Shaikh, Nilofer, Bapat, Sanket, M. Karthikeyan,
Renu Vyas, 2022 Current topics in medicinal chemistry 22
1793-1810 35.
BESFA: bioinformatics based evolutionary, structural & functional analysis
of Prostate, Placenta, Ovary, Testis, and Embryo (POTE) paralogs Qazi, Sahar,
Jit, Bimal Prasad, Das, Abhishek, M. Karthikeyan, Saxena, Amit,
Ray, MD, Singh, Angel Rajan, Raza, Khalid, Jayaram, B, Sharma, Ashok, 2022 Heliyon
8 36.
Fine-tuning ASR Model Performance on Indian Regional Accents for Accurate
Chemical Term Prediction in Audio Kothari, Sonali, Chiwhane, Shwetambari,
Satya, Rithwik, Ansari, Md Asad, Mehta, Shreeja, Naranatt, Pranav, M.
Karthikeyan, 2023 International Journal of Intelligent Systems and
Applications in Engineering 11 485-494 37.
Cancer XAI: A Responsible Model for Explaining Cancer Drug Prediction Models
Kothari, Sonali, Patil, Rutuja Rajendra, Sharma, Shivanandana, Kazi, Aqsa,
D'Silva, Michela, Shejwal, Sanskruti, M. Karthikeyan, 2023 International
Journal of Intelligent Systems and Applications in Engineering 11 472-484 38.
Web Scraping for Ovarian Cancer Detection: Utilizing Open-Source Whisper AI for
Identifying Relevant Terminology and Improving Early Diagnosis Khedkar,
Vijayshri, Bagane, Pooja, Kothari, Sonali, Gupta, Anubha, Singh, Utkarsh, Gupta,
Sahil, Agrawal, Tanya, M. Karthikeyan, 2023 International
Journal of Intelligent Systems and Applications in Engineering 11 652-658 39.
Comprehensive molecular docking and dynamic simulations for drug repurposing of
clinical drugs against multiple cancer kinase targets Shaikh, Nilofer, Linthoi,
RK, Swamy, KV, M. Karthikeyan, Renu Vyas, 2023 Journal
of Biomolecular Structure and Dynamics 41 7735-7743 40.
An explainable AI-assisted web application in cancer drug value prediction
Kothari, Sonali, Sharma, Shivanandana, Shejwal, Sanskruti, Kazi, Aqsa, D'Silva,
Michela, M. Karthikeyan, 2024 MethodsX 12 102696 List of selected US Patents Granted 1.
WO/2013/030850 M Karthikeyan, CHEMICAL STRUCTURE RECOGNITION TOOL
WO - 07.03.2013, Int.Class , G06F 19/00, Appl.No PCT/IN2012/000567 2.
20160140326 M Karthikeyan, SIMULATED CARBON AND PROTON NMR CHEMICAL
SHIFTS BASED BINARY FINGERPRINTS FOR VIRTUAL SCREENING 3.
20210210173 M Karthikeyan, METHOD FOR HARVESTING 3D CHEMICAL
STRUCTURES FROM FILE FORMATS US - 08.07.2021 Int.Class G16C 20/80 Appl.No
16072097 4.
201611011757 M Karthikeyan, REMOTE MONITORING AND CONTROLLING
PHYSICAL PARAMETERS OF A MATERIAL UNDER TRANSPORTATION IN - 02.02.2018
Int.Class G06Q 10/08 Appl.No 201611011757 5.
12. 3527/DEL/2015 M Karthikeyan, AN AUTOMATED REMOTE COMPUTING
METHOD AND SYSTEM BY EMAIL PLATFORM FOR MOLECULAR ANALYSIS IN - 05.05.2017
Int.Class G06F 19/20 Appl.No 3527/DEL/2015 6.
METHOD FOR ENCODING AND DECODING LARGE SCALE MOLECULAR VIRTUAL LIBRARIES INTO A
BARCODE WO2016181412A2, US20180355514A1 Text Book: Practical M Karthikeyan, Chemoinformatics Springer
2014 (ISBN: 978-81-322-1779-4) http://www.springer.com/chemistry/book/978-81-322-1779-4 1. Open-Source Tools,
Techniques, and Data in Chemoinformatics Muthukumarasamy Karthikeyan, Renu Vyas Pages 1-92 2. Chemoinformatics Approach
for the Design and Screening of Focused Virtual Libraries Muthukumarasamy Karthikeyan, Renu Vyas Pages 93-131 3. Machine Learning Methods in
Chemoinformatics for Drug Discovery Muthukumarasamy Karthikeyan, Renu Vyas Pages 133-194 4. Docking and Pharmacophore
Modelling for Virtual Screening Muthukumarasamy Karthikeyan, Renu Vyas Pages 195-269 5. Active Site-Directed Pose
Prediction Programs for Efficient Filtering of Molecules Muthukumarasamy Karthikeyan, Renu Vyas Pages 271-316 6. Representation,
Fingerprinting, and Modelling of Chemical Reactions Muthukumarasamy Karthikeyan, Renu Vyas Pages 317-374 7. Predictive Methods for
Organic Spectral Data Simulation Muthukumarasamy Karthikeyan, Renu Vyas Pages 375-414 8. Chemical Text Mining for
Lead Discovery Muthukumarasamy Karthikeyan, Renu Vyas Pages 415-449 9. Integration of Automated
Workflow in Chemoinformatics for Drug Discovery Muthukumarasamy Karthikeyan, Renu Vyas Pages 451-499 10. Cloud Computing Infrastructure Development for
Chemoinformatics Muthukumarasamy Karthikeyan, Renu Vyas Pages 501-528 M Karthikeyan's Current Areas of research: Artificial
Intelligence: Pioneering Solutions Across Key Global Sectors Today Artificial Intelligence (AI) is the key to innovation, advances
across an array of industries. By harnessing the potential of machine learning
and deep learning, AI delves deep into vast datasets, extracting insights and
catalyzing transformative solutions. Let's delve into the manifold advantages
of AI in reshaping crucial sectors: 1. Health: Personalized and Proactive Care 2. Agriculture: A Revolution in Farming 3. Finance: Streamlined Operations and Enhanced Security 4. Materials: Accelerated Discovery and Design 5. Sustainability: A Blueprint for a Greener Future 6. Energy: Smart Grids and Sustainable Solutions 7. Environment: Monitoring, Management, and Mitigation [click to view PCB] Open Source PCB for Education and research Internet of Chemical Things, AI, Bigdata, Tutorials, Crypto etc
1) ICCS - 4 Conference (Chemical Structure Association Trust) Student Bursary Award for the development and presentation of "Interactive Chemical Information System", [click] ICIS (c) 1995 Copyright (CSIR-National Chemical Laboratory) and
2) Commendation Certificate by Defence Research and Development Organization (DRDO),
New Delhi, 26 Jan 1999
3) DST BOYSCAST Award (April 2003- March 2004) for
Vising Scientist at The School of Pharmacy University of Northcarolina, Chapel Hill,
USA contributed in the area of ML, QSAR for anticancer drug design.
4) A recipient of DBT Overseas Associate Award Visiting Scientist (April 2007- March 2008)
at The School of Pharmacy University of Northcarolina, Chapel Hill,
USA .
Global Awards:
A winner of 1) Innocentive global
award (Stanford University Law School) for the year 2015
2) WAZOKU global award for the year 2023 for solving problems related to BIG
DATA multidimensional data analysis.
3) WAZOKU global award Winner
(Angilini Pharma) for the year 2024 on Novel target identification
for EPILEPSY using digital approaches