Yogesh Kumar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Yogesh Kumar has a total of 84 co-authors. Here are the top co-authors by number of shared publications:
Feroz Khan
CSIR-Central Institute of Medicinal and Aromatic Plants (CSIR-CIMAP), P.O. CIMAP, Kukrail Picnic Spot Road, Lucknow, 226 015, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India
6 shared publications- Feroz Khan
Technology Dissemination and Computational Biology Division CSIR‐Central Institute of Medicinal and Aromatic Plants Lucknow Uttar Pradesh India
5 shared publications - Arvind Singh Negi
Academy of Scientific and Innovative Research (AcSIR) Ghaziabad Uttar Pradesh India
4 shared publications Debabrata Chanda
CSIR-Central Institute of Medicinal and Aromatic Plants (CSIR-CIMAP), P.O. CIMAP, Kukrail Picnic Spot Road, Lucknow, 226 015, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India
4 shared publicationsKaneez Fatima
CSIR-Central Institute of Medicinal and Aromatic Plants (CSIR-CIMAP), P.O. CIMAP, Kukrail Picnic Spot Road, Lucknow, 226 015, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India
4 shared publicationsKaruna Shanker
CSIR-Central Institute of Medicinal and Aromatic Plants (CSIR-CIMAP), P.O. CIMAP, Kukrail Picnic Spot Road, Lucknow, 226 015, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India
4 shared publications
Latest Publications
- 14 October 2026
- Published by Bentham Science Publishers Ltd. in Current Bioinformatics
- Vol. 21, 1-26
Computational Approaches Driving Innovation in Biomedical Science: Navigating the Intersection of AI, Deep Learning, and Clinical Diagnostics
Introduction: Recent advancements in biomedical research have been significantly accelerated by Artificial Intelligence (AI), Machine Learning (ML), and computational modeling, enabling breakthroughs that were previously hidden or unattainable with conventional approaches. AI and ML have evolved from supportive technologies to central components of biomedical discovery. Methods: A comprehensive literature review was conducted in PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar, covering studies published between January 2015 and March 2026. Relevant articles focusing on AI, machine learning, deep learning, computational modeling, precision medicine, medical imaging, and clinical diagnostics were systematically screened and analyzed. Results: The data and information reviewed confirm that ML has reached expert-level benchmarks in image-heavy diagnostics and individualized risk stratification. However, high accuracy in a laboratory setting does not always translate to clinical success. Discussion: The reviewed evidence demonstrates that AI and ML are increasingly being applied in healthcare by enhancing diagnosis, prognosis, and personalized treatment. However, challenges related to interpretability, data quality, clinical validation, and ethical implementation must be addressed to ensure reliable, transparent, and widespread adoption in routine clinical practice. Conclusion: The findings indicate that for these systems to transform healthcare delivery, the emphasis should shift from solely predictive accuracy to transparency and clinical validation. The future of this field depends on creating interpretable models that clinicians trust, ensuring that technological advancements improve patient outcomes rather than merely achieving higher accuracy in laboratory tests.
- 14 October 2026
- Published by Bentham Science Publishers Ltd. in Current Bioinformatics
- Vol. 21, 1-26
Computational Approaches Driving Innovation in Biomedical Science: Navigating the Intersection of AI, Deep Learning, and Clinical Diagnostics
Introduction: Recent advancements in biomedical research have been significantly accelerated by Artificial Intelligence (AI), Machine Learning (ML), and computational modeling, enabling breakthroughs that were previously hidden or unattainable with conventional approaches. AI and ML have evolved from supportive technologies to central components of biomedical discovery. Methods: A comprehensive literature review was conducted in PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar, covering studies published between January 2015 and March 2026. Relevant articles focusing on AI, machine learning, deep learning, computational modeling, precision medicine, medical imaging, and clinical diagnostics were systematically screened and analyzed. Results: The data and information reviewed confirm that ML has reached expert-level benchmarks in image-heavy diagnostics and individualized risk stratification. However, high accuracy in a laboratory setting does not always translate to clinical success. Discussion: The reviewed evidence demonstrates that AI and ML are increasingly being applied in healthcare by enhancing diagnosis, prognosis, and personalized treatment. However, challenges related to interpretability, data quality, clinical validation, and ethical implementation must be addressed to ensure reliable, transparent, and widespread adoption in routine clinical practice. Conclusion: The findings indicate that for these systems to transform healthcare delivery, the emphasis should shift from solely predictive accuracy to transparency and clinical validation. The future of this field depends on creating interpretable models that clinicians trust, ensuring that technological advancements improve patient outcomes rather than merely achieving higher accuracy in laboratory tests.
- 18 November 2022
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 151 (Pt A) , 106318
Computational investigation of natural compounds as potential main protease (Mpro) inhibitors for SARS-CoV-2 virus
- 18 November 2022
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 151 (Pt A) , 106318
Computational investigation of natural compounds as potential main protease (Mpro) inhibitors for SARS-CoV-2 virus
- Open Access
- 4 November 2021
- Published by MDPI AG in Biomedicines
- Vol. 9 (11) , 1620
Current Potential Therapeutic Approaches against SARS-CoV-2: A Review
The ongoing SARS-CoV-2 pandemic is a serious threat to public health worldwide and, to date, no effective treatment is available. Thus, we herein review the pharmaceutical approaches to SARS-CoV-2 infection treatment. Numerous candidate medicines that can prevent SARS-CoV-2 infection and replication have been proposed. These medicines include inhibitors of serine protease TMPRSS2 and angiotensin converting enzyme 2 (ACE2). The S protein of SARS-CoV-2 binds to the receptor in host cells. ACE2 inhibitors block TMPRSS2 and S protein priming, thus preventing SARS-CoV-2 entry to host cells. Moreover, antiviral medicines (including the nucleotide analogue remdesivir, the HIV protease inhibitors lopinavir and ritonavir, and wide-spectrum antiviral antibiotics arbidol and favipiravir) have been shown to reduce the dissemination of SARS-CoV-2 as well as morbidity and mortality associated with COVID-19.
- 4 November 2021
- Published by MDPI AG in Biomedicines
- Vol. 9 (11) , 1620
Open AccessCurrent Potential Therapeutic Approaches against SARS-CoV-2: A Review
The ongoing SARS-CoV-2 pandemic is a serious threat to public health worldwide and, to date, no effective treatment is available. Thus, we herein review the pharmaceutical approaches to SARS-CoV-2 infection treatment. Numerous candidate medicines that can prevent SARS-CoV-2 infection and replication have been proposed. These medicines include inhibitors of serine protease TMPRSS2 and angiotensin converting enzyme 2 (ACE2). The S protein of SARS-CoV-2 binds to the receptor in host cells. ACE2 inhibitors block TMPRSS2 and S protein priming, thus preventing SARS-CoV-2 entry to host cells. Moreover, antiviral medicines (including the nucleotide analogue remdesivir, the HIV protease inhibitors lopinavir and ritonavir, and wide-spectrum antiviral antibiotics arbidol and favipiravir) have been shown to reduce the dissemination of SARS-CoV-2 as well as morbidity and mortality associated with COVID-19.
- 29 July 2021
- Published by Bentham Science Publishers Ltd. in Letters in Organic Chemistry
- Vol. 18 (9) , 735-748
Design, Synthesis, Characterization and In Silico Molecular Docking Studies and In Vivo Anti-inflammatory Activity of Pyrazoline Clubbed Thiazolinone Derivatives
Background:The pyrazolines give the reactions of aliphatic derivatives, resembling unsaturated compounds in their behavior towards permanganate and nascent hydrogen. This nucleus has been associated with various biological activities including inflammatory. Thiazolinone is a heterocyclic compound that contains both sulfur and nitrogen atom with a carbonyl group in their structure.Thiazolinone and their derivatives have attracted continuing interest because of their various biological activities, such as anti-inflammatory, antimicrobial, anti-proliferative, antiviral, anticonvulsant etc. The aim of the research was to club pyrazoline nucleus with thiazolinone in order to have significantanti-inflammatory activity. The synthesized compounds were chemically characterized for the establishment of their chemical structures and to evaluate as anti-inflammatory agent. Method:In the present work, eight derivatives of substituted pyrazoline (PT1-PT8) were synthesized by a three step reaction.The compounds were subjected to spectral analysis by Infrared, Mass and Nuclear magnetic resonance spectroscopy and elemental analysis data. All the synthesized were evaluated for their in vivo anti-inflammatory activity. The synthesized derivatives were evaluated for their affinity towards target COX-1 and COX-2, using indomethacin as the reference compound molecular docking visualization through AutoDock Vina. Results: Compounds PT-1, PT-3, PT-4 and PT-8 exhibited significant anti-inflammatory activity at 3rd hour being 50.7%, 54.3%, 52.3% and 57% respectively closer to that of the standard drug indomethacin (61.9%).From selected anti-inflammatory targets, the synthesized derivatives exhibited better interaction with COX-1 and COX-2 receptor, where indomethacin showed docking score of -6.5 kJ/mol, compound PT-1 exhibited highest docking score of -9.1 kJ/mol for COX-1 and compound PT-8 having docking score of 9.4 kJ/mol for COX-2. Conclusion: It was concluded that synthesized derivatives have more interaction with COX-2 receptors in comparison to the COX-1 receptors because the docking score with COX-2 receptors were very good. It is concluded that the synthesized derivatives (PT-1 to PT-8) are potent COX-2 inhibitors.
- 29 July 2021
- Published by Bentham Science Publishers Ltd. in Letters in Organic Chemistry
- Vol. 18 (9) , 735-748
Design, Synthesis, Characterization and In Silico Molecular Docking Studies and In Vivo Anti-inflammatory Activity of Pyrazoline Clubbed Thiazolinone Derivatives
Background:The pyrazolines give the reactions of aliphatic derivatives, resembling unsaturated compounds in their behavior towards permanganate and nascent hydrogen. This nucleus has been associated with various biological activities including inflammatory. Thiazolinone is a heterocyclic compound that contains both sulfur and nitrogen atom with a carbonyl group in their structure.Thiazolinone and their derivatives have attracted continuing interest because of their various biological activities, such as anti-inflammatory, antimicrobial, anti-proliferative, antiviral, anticonvulsant etc. The aim of the research was to club pyrazoline nucleus with thiazolinone in order to have significantanti-inflammatory activity. The synthesized compounds were chemically characterized for the establishment of their chemical structures and to evaluate as anti-inflammatory agent. Method:In the present work, eight derivatives of substituted pyrazoline (PT1-PT8) were synthesized by a three step reaction.The compounds were subjected to spectral analysis by Infrared, Mass and Nuclear magnetic resonance spectroscopy and elemental analysis data. All the synthesized were evaluated for their in vivo anti-inflammatory activity. The synthesized derivatives were evaluated for their affinity towards target COX-1 and COX-2, using indomethacin as the reference compound molecular docking visualization through AutoDock Vina. Results: Compounds PT-1, PT-3, PT-4 and PT-8 exhibited significant anti-inflammatory activity at 3rd hour being 50.7%, 54.3%, 52.3% and 57% respectively closer to that of the standard drug indomethacin (61.9%).From selected anti-inflammatory targets, the synthesized derivatives exhibited better interaction with COX-1 and COX-2 receptor, where indomethacin showed docking score of -6.5 kJ/mol, compound PT-1 exhibited highest docking score of -9.1 kJ/mol for COX-1 and compound PT-8 having docking score of 9.4 kJ/mol for COX-2. Conclusion: It was concluded that synthesized derivatives have more interaction with COX-2 receptors in comparison to the COX-1 receptors because the docking score with COX-2 receptors were very good. It is concluded that the synthesized derivatives (PT-1 to PT-8) are potent COX-2 inhibitors.
- Open Access
- 1 September 2020
- Published by Elsevier in Journal of Infection and Public Health
- Vol. 13 (9) , 1210-1223
In silico prediction of potential inhibitors for the main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing
- 1 September 2020
- Published by Elsevier in Journal of Infection and Public Health
- Vol. 13 (9) , 1210-1223
Open AccessIn silico prediction of potential inhibitors for the main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing
- Open Access
- 1 April 2020
- Published by American Chemical Society (ACS) in ChemRxiv
In Silico Identification and Docking-Based Drug Repurposing Against the Main Protease of SARS-CoV-2, Causative Agent of COVID-19
The rapidly enlarging COVID-19 pandemic caused by novel SARS-coronavirus 2 is a globalpublic health emergency of unprecedented level. Therefore the need of a drug or vaccine thatcounter SARS-CoV-2 is an utmost requirement at this time. Upon infection the ssRNA genomeof SARS-CoV-2 is translated into large polyprotein which further processed into differentnonstructural proteins to form viral replication complex by virtue of virus specific proteases:main protease (3-CL protease) and papain protease. This indispensable function of main proteasein virus replication makes this enzyme a promising target for the development of inhibitors andpotential treatment therapy for novel coronavirus infection. The recently concluded α-ketoamideligand bound X-ray crystal structure of SARS-CoV-2 Mpro (PDB ID: 6Y2F) from Zhang et al.has revealed the potential inhibitor binding mechanism and the determinants responsible forinvolved molecular interactions. Here, we have carried out a virtual screening and moleculardocking study of FDA approved drugs primarily targeted for other viral infections, to investigatetheir binding affinity in Mpro active site. Virtual screening has identified a number of antiviraldrugs, top ten of which on the basis of their bending energy score are further examined through molecular docking with Mpro. Docking studies revealed that drug Lopinavir-Ritonavir, Tipranavirand Raltegravir among others binds in the active site of the protease with similar or higheraffinity than the crystal bound inhibitor α-ketoamide. However, the in-vitro efficacies of the drugmolecules tested in this study, further needs to be corroborated by carrying out biochemical andstructural investigation. Moreover, this study advances the potential use of existing drugs to beinvestigated and used to contain the rapidly expanding SARS-CoV-2 infection.
- 1 April 2020
- Published by American Chemical Society (ACS) in ChemRxiv
Open AccessIn Silico Identification and Docking-Based Drug Repurposing Against the Main Protease of SARS-CoV-2, Causative Agent of COVID-19
The rapidly enlarging COVID-19 pandemic caused by novel SARS-coronavirus 2 is a globalpublic health emergency of unprecedented level. Therefore the need of a drug or vaccine thatcounter SARS-CoV-2 is an utmost requirement at this time. Upon infection the ssRNA genomeof SARS-CoV-2 is translated into large polyprotein which further processed into differentnonstructural proteins to form viral replication complex by virtue of virus specific proteases:main protease (3-CL protease) and papain protease. This indispensable function of main proteasein virus replication makes this enzyme a promising target for the development of inhibitors andpotential treatment therapy for novel coronavirus infection. The recently concluded α-ketoamideligand bound X-ray crystal structure of SARS-CoV-2 Mpro (PDB ID: 6Y2F) from Zhang et al.has revealed the potential inhibitor binding mechanism and the determinants responsible forinvolved molecular interactions. Here, we have carried out a virtual screening and moleculardocking study of FDA approved drugs primarily targeted for other viral infections, to investigatetheir binding affinity in Mpro active site. Virtual screening has identified a number of antiviraldrugs, top ten of which on the basis of their bending energy score are further examined through molecular docking with Mpro. Docking studies revealed that drug Lopinavir-Ritonavir, Tipranavirand Raltegravir among others binds in the active site of the protease with similar or higheraffinity than the crystal bound inhibitor α-ketoamide. However, the in-vitro efficacies of the drugmolecules tested in this study, further needs to be corroborated by carrying out biochemical andstructural investigation. Moreover, this study advances the potential use of existing drugs to beinvestigated and used to contain the rapidly expanding SARS-CoV-2 infection.
- 1 February 2020
- Published by Elsevier in European Journal of Medicinal Chemistry
- Vol. 188, 111986
Antiproliferative activity of diarylnaphthylpyrrolidine derivative via dual target inhibition
- 1 February 2020
- Published by Elsevier in European Journal of Medicinal Chemistry
- Vol. 188, 111986
Antiproliferative activity of diarylnaphthylpyrrolidine derivative via dual target inhibition
- 4 December 2019
- Published by Taylor & Francis in Natural Product Research
- Vol. 35 (19) , 3261-3268
Synthesis, molecular modelling studies of indolyl chalcone derivatives and their antimalarial activity evaluation
Twenty one chalcone derivatives were synthesized using Claisen-Schmidt condensation, their antimalarial activity against Plasmodium falciparum was determined and quantitative structure–activity relationship (QSAR) was developed. Condensation of substituted acetophenones with various aromatic aldehydes at room temperature gave chalcones in 75–96% yield. Chalcones are secondary metabolites of terrestrial plants, precursors for the biosynthesis of flavonoids and exhibit various biological activities. Antiplasmodial IC50 (half-maximal inhibitory concentration) activity of a compound against malaria parasites in vitro provides a good first screen for identifying the antimalarial potential of the compound. The most active compound was Trans-3-(1H-indol-3-yl)-1-(2’-hydroxyphenyl)-2-propen-1-one (1b) with IC50 of 2.1 µM/L. Molecular mechanism was explored through in silico docking & ADMET studies for the active compounds.
- 4 December 2019
- Published by Taylor & Francis in Natural Product Research
- Vol. 35 (19) , 3261-3268
Synthesis, molecular modelling studies of indolyl chalcone derivatives and their antimalarial activity evaluation
Twenty one chalcone derivatives were synthesized using Claisen-Schmidt condensation, their antimalarial activity against Plasmodium falciparum was determined and quantitative structure–activity relationship (QSAR) was developed. Condensation of substituted acetophenones with various aromatic aldehydes at room temperature gave chalcones in 75–96% yield. Chalcones are secondary metabolites of terrestrial plants, precursors for the biosynthesis of flavonoids and exhibit various biological activities. Antiplasmodial IC50 (half-maximal inhibitory concentration) activity of a compound against malaria parasites in vitro provides a good first screen for identifying the antimalarial potential of the compound. The most active compound was Trans-3-(1H-indol-3-yl)-1-(2’-hydroxyphenyl)-2-propen-1-one (1b) with IC50 of 2.1 µM/L. Molecular mechanism was explored through in silico docking & ADMET studies for the active compounds.
- 1 November 2019
- Published by Elsevier in The Journal of Steroid Biochemistry and Molecular Biology
- Vol. 194, 105457
Bivalent furostene carbamates as antiproliferative and antiinflammatory agents
- 1 November 2019
- Published by Elsevier in The Journal of Steroid Biochemistry and Molecular Biology
- Vol. 194, 105457
Bivalent furostene carbamates as antiproliferative and antiinflammatory agents
- 4 October 2019
- Published by Wiley in Chemical Biology & Drug Design
- Vol. 95 (1) , 150-161
Brevifoliol ester induces apoptosis in prostate cancer cells by activation of caspase pathway
Prostate cancer is fourth most abundant cancer type around the globe. Brevifoliol, a rearranged taxoid from Taxus walllichiana needles has been derivatized as C5 esters using Steglich esterification reaction. Seventeen diverse analogues were evaluated against a panel of human cancer cell lines by MTT assay. Among these, two of the semi‐synthetic analogues, that is, 13 and 16 exhibited potent cytotoxicity, selectively against PC‐3, prostate cancer cell lines. In cell cycle analysis, analogue 13 induced S and G2/M phase arrest and induced apoptosis by activating caspase‐3. Compound 13 showed moderate efficacy in in‐vivo Ehrlich ascites carcinoma in Swiss albino mice. Further, compound 13 was found to be safe in Swiss albino mice up to 1,000 mg/kg dose in acute oral toxicity. Brevifoliol ester 13 may further be optimized for better efficacy.
- 4 October 2019
- Published by Wiley in Chemical Biology & Drug Design
- Vol. 95 (1) , 150-161
Brevifoliol ester induces apoptosis in prostate cancer cells by activation of caspase pathway
Prostate cancer is fourth most abundant cancer type around the globe. Brevifoliol, a rearranged taxoid from Taxus walllichiana needles has been derivatized as C5 esters using Steglich esterification reaction. Seventeen diverse analogues were evaluated against a panel of human cancer cell lines by MTT assay. Among these, two of the semi‐synthetic analogues, that is, 13 and 16 exhibited potent cytotoxicity, selectively against PC‐3, prostate cancer cell lines. In cell cycle analysis, analogue 13 induced S and G2/M phase arrest and induced apoptosis by activating caspase‐3. Compound 13 showed moderate efficacy in in‐vivo Ehrlich ascites carcinoma in Swiss albino mice. Further, compound 13 was found to be safe in Swiss albino mice up to 1,000 mg/kg dose in acute oral toxicity. Brevifoliol ester 13 may further be optimized for better efficacy.