Research Projects



In order to strengthen your profile so to have better opportunities in your career, i. e, for jobs or for higher studies you need to have good publications under your belt. The only program since 2010 which is fulfilling this need is the Research Project Training Program of BDG LifeSciences which is of novel research projects on the latest technologies of Bioinformatics. 

In this program, we implement the current research trend and apply unique ways of teaching plus practical application so to make you learn in the best possible way. As it is done online hence participants have the freedom of choosing the time of training sessions according to their choice and also save a huge amount of money in travel, accommodation, food, etc., As of now we have completed more than 60 research projects and all of them published at International level. This research project can be done as a Major and/or thesis project for the final year or if someone wants to strengthen their profile. You can view all the completed projects hereTo view the video feedback of our previous events kindly visit our YouTube Channel To view, the teams for current projects click here


CURRENT RESEARCH PROJECT

Our research project training program is of novel research projects on the latest technologies of Bioinformatics. In this program, we implement the current research trend and apply unique ways of teaching plus practical application so to make you learn in the best possible way. As it is done online hence participants have the freedom of choosing the time of training sessions according to their choice and also save a huge amount of money in travel, accommodation, food, etc., As of now we have completed more than 75 research projects and all of them published at International level. This research project can be done as a Major and/or thesis project for the final year or if someone wants to strengthen their profile so as to have better opportunities in their career, i. e, for jobs or for higher studies. Applications are invited for 3 seats in our 86 novel research project entitled "Unveiling Autoimmune Genes and Regulatory Elements in Head and Neck Squamous Cell Carcinoma through Advanced Machine Learning and Network-Based Analysis"

FEE- In India Online: 79999 INR, Foreign Online: $1099 USD

LAST DATE OF REGISTRATION IS 31 JULY 2024 AND THE PROJECT STARTS  IN AUGUST 2024

SUMMARY OF THE PROPOSED RESEARCH WORK:

The objective of this research project is elucidation of robustautoimmune mRNAs, miRNAs, lncRNAs, TFs, and siRNAs involved in the mechanism of HNSC. The work will primarily involve retrieval of various microarray and RNA-Seq HNSC datasets followed by meta-analysis and differentially expressed genes (DEGs) screening between two age groups (i.e., Adult and Pediatric). Pearson/Spearman correlation values will be used for construction of co-expression network followed by overlapping community detection and assessment of network topological properties. Advanced machine learning technique such as adaptive lasso and elastic net regression will be used for immune cell classifier construction and identification of tumor-infiltrating genes. Multivariate and univariate cox proportional hazard will then be utilized for screening immune hub with high-risk score and effecting patients’ overall survival (OS) the most. Protein – Protein Interaction Network (PPIN) and enrichment analysis will lead us the way towards autoimmune genes. Composite FFL will lead to the identification of high degree miRNAs, lncRNAs, TFs, and siRNAs having an intricate relationship with autoimmune genes. Virtual screening of compound libraries will aid to find therapeutic lead for key autoimmune gene inhibition/targeting.

DETAILED RESEARCH PLAN: MATERIAL AND METHODS

Objective 1: HNSC RNA-Seq retrieval and screening of differentially expressed genes: Primarily, TCGA, NCBI-GEO, ArrayExpress, and NCI Genomic Data Commons will be used for extracting HNSC RNASeq data. The data will then be categorized into Paediatric and adult samples for screening of DEGs. For performing meta-analysis, we would obtain at least 5-10 datasets in both the age group categories followed by pre-processing and batch correction. After obtaining the overlapping DEGs between both age groups we would be subjecting them to meta-analysis.

Objective 2: Gene co-expression network construction and significant module detection: The screened meta-DEGs between both the groups will be subjected to Gene Co-expression Network construction based on the Pearson/Spearman correlation coefficient. Then, highly connected hub communities/modules with overlapping genes will be identified.

Objective 3: Immune cell classifier using adaptive LASSO and prognostic signature model

  • Immune cell classifier construction using adaptive LASSO: Elastic-net regression method which is a linear combination of L1/L2 regularization in the ridge regression and LASSO regression will be used for building an immune cell classifier. For constructing the model, total samples will be split into 70:30 ratio for training and test sets which were also stratified by clinical variates (i.e., TNM staging, gender, weight, and histopathological stage). We will place here the concept of adaptive LASSO technique where weights are assigned for regularizing different coefficients. Possible association between hub gene expression and abundance of major subtypes of tumor-infiltrating immune cells will be then done. Only the overlapping genes between our immune cell classifier and tumor-infiltrating genes will be retained.
  • Prognostic signature for survival prediction: Multivariate and univariate cox proportional hazard will be utilized for screening immune hub genes having significant relationship with patients’ OS followed by random survival forests-variable hunting algorithm application to filter HNSC prognostic genes.

Objective 4: PPIN construction and enrichment analysis

  • PPIN construction and analysis: PPIN of immune DEGs with high-risk score will be constructed using protein databases. The protein interacting partners will be filtered based on highest score.
  • Pathway and functional enrichment analysis: Pathway and GO term enrichment analysis will assist to filter DEGs occurring only in any autoimmune signalling pathway or term.

Objective 5: Key autoimmune DEG identification and therapeutic intervention

  • Identification of driver miRNAs, TFs, lncRNAs, and siRNAs from composite FFL: Significant (based on p-value) human TFs, miRNAs, lncRNAs, and siRNAs interacting with our autoimmune DEGs will be fetched from highly validated databases. Considering the regulatory relationships between DEGs, TFs, miRNAs, lncRNAs, and siRNAs, a 5-node composite FFL will be constructed. Driver miRNAs, TFs, siRNAs, and lncRNAs will be fetched for our key autoimmune HNSC DEG using degree and clustering coefficient.

DURATION- 2 Months- training sessions will be conducted online on ZOOM/GOOGLE MEET/MICROSOFT TEAMS

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51-60

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Objective 2

 

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Objective 3

 

 

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Objective 4

 

 

 

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Objective 5

 

 

 

 

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EXPECTED OUTCOMES:

Novel autoimmune genes along with other regulatory elements responsible for the pathogenesis of HNSC will be identified via adaptive lasso and overpaying module detection approach. The hub module will be subjected to immune cell classifier and high-risk score prognostic autoimmune genes identification. Lastly, docking and simulation will aid in selecting natural products against our autoimmune HNSC targets.

BASIC SKILL REQUIREMENT

  • R programming

TOPICS

  • Univariate & multivariate survival analysis
  • ML technique such as LASSO for signature identification
  • Trait-based co-expressed module identification
  • Enrichment analysis
  • PPI analysis
  • FFL analysis

TOOLS & SOFTWARE

  • Any OS (Windows/Mac/Ubuntu) with internet connection
  • R 4.4.1
  • RStudio
  • Rtools44
  • Cytoscape v3.10.1
SYSTEM REQUIREMENT: System desktop or laptop with i5, i7 or i9 core processor with internet. Apple M processors will also work.

ELIGIBILITY: Anyone who is a UNDERGRADUATE/GRADUATE or HIGHER DEGREE is the minimum requirement to register for this project. This project is strictly not for HIGH SCHOOL (Class 9 & 10) / COLLEGE (Class 11 & 12) students. For them we have other projects which can be presented in Science Fair.

WHAT YOU GET

  • Training in the technology. 
  • Opportunity to work on a novel research project. 
  • Practical application of training
  • Software, which you can use for other projects.
  • Tutorial and Papers of technology., so to make you understand every aspect of the technology.
  • Chance of getting it published at an International Conference/Journal.
  • Certificate of Training in Research Project.
  • Recommendation letter for Job/PhD.
  • Add the position of Research Project Trainee in your CV and LinkedIn profile. This will serve the purpose of work experience.
  • We will connect you with people in our group who did projects with us which will help you in getting jobs as well as PhD positions around the world.

T & C

  • Once you register and pay the fee we will send you a welcome email having details.
  • Once registration is done it is NON-REFUNDABLE/NON TRANSFERABLE.
  • While you will be working on the project and completing the tasks to monitor the progress of your work you have to send daily project reports to your guide.
  • You will be directly connected to your guide as well as in a group where people who have completed their research project with us are present to solve your queries at the earliest.




TEAM FOR CURRENT/ONGOING RESEARCH PROJECTS

85. Molecular Modeling study of derivatives of Leaf Extracts of medicinal plant Solanum torvum and Serine/Threonine Kinase from Mycobacterium Tuberculosis

  1. Tenzin Kalsang, Manipal Academy of Higher Education, India.
  2. Elham O Mahgoub, Alneelain University, Sudan.
  3. Laxmi C M, Teesside University, Middlesbrough, UK.
  4. Ilham Said Salman, Beirut Arab University, Lebanon.

84. Targeting Tumor Progression: Identifying Differentially Expressed Genes and Pathways in Pancreatic Ductal Adenocarcinoma using RNAseq

  1. Kasturi Mukherjee, Kyvor Genomics Pvt. Ltd , Chennai, India.

83. Next Generation Sequencing | Unraveling the Cancer Code: Gene Expression Profiling with RNAseq

  1. Ilham Omer Mahgoub, Alneelain University, Sudan
  2. Arnav Kolluru,Liberty High School, Renton, WA, United States.

82. NGS Data Analysis | Prediction of Multiple Myeloma Using RNASeq Data

  1. Dolly Jagwani, Indian Institute of Science Education and Research, Pune (IISER-P), Maharashtra, India
  2. Mathews Kennedy, Cancer Biology and Therapeutics, Middlesex University, London, UK.

81. NGS Data Analysis of Cancer Tissues | A Cancer Biology Study

  1. Pooja Prakash Mankar, - Shri Shivaji College of Arts, Commerce and Science, Akola, India. 
  2. Amit Kumar, ICMR, New Delhi, India.
  3. Ilham Omer Mahgoub, Alneelain University, Sudan.

79. Molecular Modeling study of Cyclophilin A and derivatives of Ganoderiol F (26,27-Dihydroxylanosta-7,9(11),24-trien-3-one): Design of novel inhibitors for CyclophilinA

  1. Ilham Omer Mahgoub, Alneelain University, Sudan.
  2. Sharda Sambhakar, Department of Pharmacy, Banasthali Vidyapith, Rajasthan, India.

78. Molecular Modeling study of derivates of Ethyl 2-[(4-chlorophenyl)carbamoylamino]-5-methyl-4-phenylthiophene-3-carboxylate and α-D-glucose-1-phosphate thymidylyltransferase (Mycobacterium-RmlA) | Discovery of new drugs for multidrug-resistant (MDR)Mtb

  1. Jyotishikha, Department of Biotechnology, Amity University, India.
  2. Harmanpreet Kaur, Red River College, Winnipeg, Manitoba, Canada.
  3. Roma Sharma, Sorting Hat Technologies, India.
  4. Yamini Saraswathi Chapala, Bhavans Vivekananda College, Hyderabad, India.

76. Molecular Modelling study of p53-MDM2 and derivatives of Ganoderiol F | Discovery of new Anti-CANCER Drugs by Molecular Docking & MD Simulations Approach

  1. Rytis Boreika, Abbaltis, Sittingbourne, United Kingdom.
  2. Divya M B, Department of Biochemistry, St Aloysius College, Mangalore, India.
  3. Sujoy Chakraborty, Department of Biotechnology, Amity University, India.
  4. Roshni Thapa, Special Centre for Molecular Medicine, Jawaharlal Nehru University, New Delhi, India.

75. NGS Data Analysis on Alzheimer's

  1. Raajesh Iyer B, Prophecy Technologies, San Diego, CA, USA.
  2. Shourya Majumder, Department of Biotechnology, IIT Kharagpur, India.

74. NGS Data Analysis on Cancer Biology | Analyzing cancer tissues

  1. Vikram Krishna B, Sri Sankara Arts and Science College (Autonomous), Kanchipuram, Tamilnadu, India.
  2. Dexter Achu Mosoh, SAGE University Bhopal Campus, India.
  3. Dr.Dheepa Manoharan, Infectious Diseases, Dubai, UAE

73. Inhibitory study of Focal Adhesion Kinase (FAK): A Virtual screening, Molecular Docking & ADMET study for  combating cancer

  1. Rutupurna Satapathy, KIIT School of Biotechnology, Orissa, India.
  2. Dexter Achu Mosoh, SAGE University Bhopal Campus, India.

72. Virtual Screening and Molecular Docking study of derivatives of chromen-2-one as selective Estrogen Receptor beta Agonists (SERBAs): Molecular Modeling study of Benign Prostatic Hyperplasia

  1. Keerthi Renganathan, School of Biotechnology and Bioinformatics, D.Y. Patil University, India
  2. Nikita Mundhara, Department of Biotechnology, Indian Institute of Technology Bombay, Mumbai, India.
  3. Tanveen Kaur Soni, JIS University, Agarpara, Kolkata, India.
  4. Sakshi Pandey, Banaras Hindu University, India.

71. Molecular Modeling Study of extracts of medicinal plants as potential anti-tubercular agents

  1. Titiksha Sharma, Delhi Technological University, Delhi, India.
  2. Jhancy Raj, Biogenix Research Centre, Thiruvananthapuram, Kerala, India.
  3. Awadhesh Kumar Verma, Jawaharlal Nehru University, New Delhi, India.
  4. Shaniya Ali, Mar Athanasios College for Advance Studies Thiruvalla, Thiruvalla, Kerala, India.

70. Virtual screening & Molecular Docking of DOT1L & derivatives of Pinometostat | Molecular Modeling study of Therapeutic Target in Mixed-lineage Leukemia (MLL)

  1. Lakshmi Prasannah, Department of Pharmaceutical Sciences, Bengaluru, India.
  2. Komal Kumari Gohil, K.J. Somaiya College of Science & Commerce, Mumbai,India.
  3. Yannick Luther Agbana, Pan African University Life and Earth Sciences Institute, University of Ibadan, Nigeria.
  4. Palak Shrivastava, Department of Biotechnology, Dr. Harisingh Gour University, Sagar, India.

69. Targeting the Wnt/β-catenin signaling pathway in cancer by molecular modeling study of Ganoderiol F and Beta- Catenin

  1. Mithra M S, Rajiv Gandhi Centre for Biotechnology, India.
  2. Nikhil K Gigi, The Institute of Science, Dr. Homi Bhabha State University, Mumbai.
  3. Madhumita Ghosh, Ballygunge Science College, University of Calcutta, Kolkata, West Bengal, India
  4. Raktim Chowdhury, University of Mumbai, India.
  5. Zehratul Quresh, Metropolis Healthcare, Hyderabad, India.

68. Biomarker discovery based on omics technology

  1. Bansari Modi, Department of Botany , Bioinformatics, Climate change and impact management, School of Science, Gujarat University, India.
  2. Nishant Joshi, Shiva Nadar University, India.

67. Study of SARS-CoV-2 main protease (Mpro) and derivatives of Norterihanin to investigate potential inhibitors using Virtual Screening & Molecular Docking

  1. Satabdi Mohanty, Department of Biotechnology & Genetic Engineering, SRM University, India.
  2. Dhriti Gaur, Department of Biotechnology , Bennett University, India.
  3. Aditya G Lavekar, PI Industries, Rajasthan, India.

66. Molecular Modelling study of SARS-CoV-2 spike protein of COVID-19 with derivatives of Saikosaponins | Examining the anticoronaviral activity of saikosaponins (A, B2, C and D)

  1. Amisha Garg, System Biology and Bioinformatics, Panjab University, Chandigarh, India. 
  2. Sweta Mohanty, Department of Biotechnology, KIIT University, India.
  3. Rudra Prasad Nayak, Department of Biotechnology, KIIT University, India.
  4. Suparna Giri, Department of Biotechnology, KIIT University, India.
  5. Aakash Deva T.P, School of Bioengineering, SRMIST, Chennai, India.

65. Molecular Modeling study of Southeast Asian Medicinal Plant Aglaia erythrosperma  and α-D-glucose-1-phosphate thymidylyltransferase (Mycobacterium-RmlA) | Discovery of new drugs for multidrug-resistant (MDR) Mtb

  1. Arka Sanyal, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India.
  2. Ankita Mohanty, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India
  3. Saswat Dash, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India
  4. Aditi Rubal, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India
  5. Anusakha Panigrahi, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India
  6. Adrija Dihingia, Department of Biotechnology, KIIT University, Bhubaneshwar, Odisha, India

64.Molecular Modeling study of Cyclophilin A and derivatives of 1,8-Diamino-2,4,5,7-tetrachloroanthraquinone: Design of novel inhibitors for Cyclophilin A 

  1. Safiya Aafreen, Biomedical Engineering, Johns Hopkins University , Baltimore, USA.
  2. Jyothi Giridhar, Narayana Pharmacy College, JNTU Anantapur, India.
  3. Sanica Nadkarni, MGM Institute of Health Sciences, India.
  4. Ankita Saha, Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee(IITR), Roorkee, Uttarakhand, India.
  5. Nirav Parmar, Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee(IITR), Roorkee, Uttarakhand, India.
  6. Manjari Gaur, Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee(IITR), Roorkee, Uttarakhand, India.

63. Molecular Modelling study of Catalytic domain of protein kinase PknB from Mycobacterium tuberculosis | Discovery of new Anti-Tubercular Drugs

  1. P Ansuman Abhisek, MKCGMCH, Odisha, India.
  2. Chitra Roy, Ballygunge Science College, University of Calcutta, Kolkata, India.
  3. Ramya Vishwanathan, Biotechnology Engineering, SRM Institute Of Science And Technology, India.
  4. Niyati Bisht, Department of Immunology and Virology, Amity University, Noida, India.
  5. Mudita Appasaheb Kadam, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India. 

62. Molecular Modelling study of p53-MDM2 | Discovery of new Anti-CANCER Drugs by Molecular Docking & MD Simulations Approach

  1. Ngoc Pham, The Applied Chemistry Department of the International University, Ho Chi Minh, Vietnam.
  2. Remya Prajeshgopal, Virology Department, Emirates Modern Poultry Co(Al Rawdah), Dubai, UAE.
  3. Shibam Dey, B.Tech+ M. Tech Biotechnology Dual Degree, KIIT University Bhubaneshwar,Odhisa, India
  4. Shalini Susmita, B.Tech+ M. Tech Biotechnology Dual Degree, KIIT University Bhubaneshwar,Odhisa, India.
  5. Anurag Chatterjee, B.Tech+ M. Tech Biotechnology Dual Degree, KIIT University Bhubaneshwar,Odhisa, India.

61. Molecular modeling of sphingosine 1-phosphate receptor 1(S1P1) as target for multiple sclerosis | A Virtual screening, Molecular docking & ADMET study

  1. Veera Raghava Choudary Palacharla, Scientist, Drug Discovery, M.Pharmacy, Annamalai University, India.
  2. Dr Arul Amuthan, Division of Siddha, Center for Integrative Medicine and Research (CIMR), Manipal University, India.
  3. Sandip Jaiswal, Operations manager (Cloud Platform), CSC, India.
  4. Manika Gupta, Master of Science in Genomics, Amity Institute of Virology and Immunology, Amity University, India.
  5. Dhanush R A, B. Tech - Genetic engineering, SRM Institute of Science and Technology, India.
  6. Poonam Dhiman, BS-MS Integrated Course, Indian Institute of Science Education and Research, Mohali, India.
  7. Preethi Varriar, Bachelor of Technology (B. Tech), Biotechnology, Delhi Technological University, India
  8. Mohammad Khan, Masters of Science in Bioinformatics, G.N Khalsa College, Matunga, Mumbai, India
  9. Shagufta Khan, Masters of Science in Bioinformatics, G.N Khalsa College, Matunga, Mumbai, India.

60. Inhibitory study of α-D-glucose-1-phosphate thymidylyltransferase (Mycobacterium-RmlA) | Discovery of new drugs for multidrug-resistant (MDR) Mtb

  1. Prof. Dr. Ali Abdulhafidh Ibrahim Al-Shaikhli, Department of Mathematical and applied computer, College of Science, Al-Nahrain University, Jadriyah, Baghdad, Iraq.
  2. Dr. Prince Prashant Sharma,Gurukula Kangri Vishwavidyalaya, Department of Pharmaceutical Sciences, Haridwar, India.
  3. Gauri Kiran Vanjari, Bachelor of Dental Surgery, SASS Yogita Dental College and Hospital, Maharashtra University of health Sciences, Nasik, India.
  4. Shivam Bhan, B.Tech Biotechnology, Amity University, Noida, UP, India.

59. Molecular modeling study of derivatives of dutasteride and Human Steroid 5β-Reductase (AKR1D1) | Discovery of new drugs for prostate cancer

  1. Chhavi Rai, BDG LifeSciences, India.
  2. Vinay Kumar, BDG LifeSciences, India
  3. Dipjyoti Dey, Master of Science Applied Microbiology, Vellore Institute of Technology (VIT) University, Vellore, India.
  4. Mehuli Mishra, B.Sc, Department of Biotechnology, Jyoti Nivas College, Bengaluru, India
  5. Vidushi Aggarwal, B.Sc, Department of Biotechnology, Jyoti Nivas College, Bengaluru, India.
  6. Disha Mitra, Biophysics, Molecular Biology and Bioinformatics, Rajabazar Science College, Calcutta University, India.
  7. Suparna Maji, B.Tech M.Tech Dual Degree in Biotechnology, KIIT University, Bhubaneswar, Odisha, India
  8. Soumyadipta Das, B.Tech M.Tech Dual Degree in Biotechnology, KIIT University, Bhubaneswar, Odisha, India
  9. Suman Nayek, B.Tech M.Tech Dual Degree in Biotechnology, KIIT University, Bhubaneswar, Odisha, India.
  10. Subarna Chakraborty, B. Tech Genetic Engineering, SRM Institute of Science and Technology, India.

57. Molecular modeling study of α-glucosidase Inhibitors (AGIs) | Discovery of new anti-diabetic drugs by controlling postprandial hyperglycemia

  1. Dr Minakshi Garg PhD, Assistant Professor in Biotechnology, University Institute of Engineering and Technology, Panjab University Chandigarh, India
  2. M. Raghanivedha, Master of science in Biotechnology, Seattle, Washington, United States of America.
  3. Shreya Mondal, B. Tech (Biotechnology), Amity University, Noida, India.
  4. H. Vijayasri, B.Sc. (Hons) Biomedical Sciences at Sri Ramachandra Institute of Higher Education and Research (DU) Porur, Chennai.
  5. Nikita Yadav, BS-MS Integrated Course, Indian Institute of Science Education and Research, Mohali, India
  6. Sucharita Ghosh, B.Tech M.Tech Dual Degree in Biotechnology, KIIT University, Bhubaneswar, Odisha, India.

56. Discovery of new ligands for PPAR Gamma responsible for Diabetes Type 2: A Virtual Screening, Docking & ADMET Study.

  1. Bharti Mittal, PhD, Senior Scientist, Operations, MedGenome Labs Pvt Ltd, Bangalore, India.
  2. Vivek Srivastava, Ph.D., Assistant Professor(Biochemistry), School of Basic Sciences and Research, Sharda University, Greater Noida, UP
  3. Maitili Varma, Advanced Proficiency course in Genetic engineering, Genohelix Biolabs, Jain Group of Institutions, India.
  4. Priyadarshini Sharma, B. Tech, Amity Institute of Biotechnology, Amity University, Noida, India.
  5. Harshita Agarwal, B. Sc, Amity Institute of Biotechnology, Amity University, Noida , India.
  6. Gupta Radha Devi Shivprakash, Masters of Science in Bioinformatics, G.N Khalsa College, Matunga, Mumbai, India
  7. Raisa Dabhilkar, Masters of Science in Bioinformatics, G.N Khalsa College, Matunga, Mumbai, India.

53. Molecular Modelling study of phytoconstituents from medicinal plants of India | Discovery of natural anti-tubercular agents

  1. Taiba Hamed Youssef Gamal El Din, Master in Biotechnology & Life Science, Bani Sueif University, Bani Sueif, Egypt.
  2. Syeda Birjees Misbah, M.Sc., Biochemistry, REVA University, Bangalore, India.
  3. Aindrila Pal, B. Tech, Amity Institute of Biotechnology, Amity University, Noida, India.
  4. Preeti, M.Sc Biotech, Amity Institute of Biotechnology, Amity University, India.
  5. Ngoc Pham, The Applied Chemistry Department of the International University, Ho Chi Minh, Vietnam.
  6. Moumita Ganguly, Research Associate, IIT Mandi, India.
  7. Deeksha Gairola, M.Sc Biotech, Amity Institute of Biotechnology, Amity University, India.
  8. Ketaki Ghatole, B.E. Biotechnology, MS Ramaiah Institute of Technology, Bengaluru, India.

49. Molecular Modeling study of Zika Virus | Virtual Screening, Protein Modeling, Docking, ADMET and MD Simulations Study

  1. Dr. Alam El-Din, Hanaa Mahmoud, Virology and Immnunology Unit, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
  2. Manjisa Choudhury, VIT University, Vellore, India.
  3. Nada Gamal Ibrahim El-Dawy, Faculty of Biotechnology, October University for Modern Sciences and Arts, Egypt (MSA University).

39. Study of derivatives of Chalcones as new Tyrosinase inhibitors: A Molecular Docking, ADME & Tox Study

  1. Adwaita Das, Department of Botany, The University of Burdwan, Burdwan, West Bengal, India
  2. Shreya John MSc Bioinformatics, St. Aloysius Institute of Management and Technology, Mangalore University.
  3. Lalit R. Samant, Project Assistant, Haffkine Institute for Training Research and Testing, India.
  4. K.C. Haritah Yadav, M. Sc (Medical Pharmacology) from Kamineni Institute of Medical Sciences, Narkrtpally, Nalgonda, Andhra Pradesh.
  5. Dr. N. Hari, School of Chemical & Biotechnology, SASTRA University, Thanjavur, Tamil Nadu.
  6. Dr(Mrs) Jhaumeer Laulloo Sabina, University of Mauritius, Reduit, Mauritius.

34. Study of extracts of Veratrum Dahuricum as potential Anti-tumor molecules: Molecular Docking & Modeling study with Farnesyl Pyrophosphate Synthase (FFPS)

  1. Gomathi Rajendran, ITC Zenith (M) Sdn. Bhd. (Conformity Assessment Body), Malaysia.
  2. Seetha Harilal, Department of Pharmacology, Nehru College of Pharmacy, Kerala University of Health Sciences, Thrissur, Kerala, India.
  3. Akshya Kumar Mailapali, I. M.Sc Bioinformatics , B.J.B. Autonomous College, Utkal University, Bhubaneshwar, India.
  4. Tanya Munjal, M.Sc Biotech, Amity Institute of Biotechnology, Amity University, India.
  5. Sambit Kumar Roy, M.Sc Biotech, Amity Institute of Biotechnology, Amity University, India.
  6. Lucky Gupta, M.Sc Biotech, Amity Institute of Biotechnology, Amity University, India.
  7. Gaurav Dutt, School of Basic and Applied Science, Dayananda Sagar University, Bangalore, India.