INTRODUCTION

BDG LifeSciences' Research Project Training Program is a one-of-a-kind initiative designed to strengthen your profile and enhance career opportunities, whether for jobs or higher studies, by offering the chance to work on novel research projects using the latest technologies in bioinformatics. Since 2010, this program has addressed the critical need for high-quality publications by combining innovative teaching methods with practical applications. Conducted entirely online, it provides participants with the flexibility to choose session timings while saving on travel, accommodation, and food expenses. With over 88 research projects successfully completed and published at the international level, this program is ideal as a major or thesis project for final-year students or for those looking to advance their profiles.

Applications are now open for ONLY 4 SEATS in our 91st novel research project, titled "ImmunoSpatial Blueprint: Mapping Tumor-Immune Interactions in Triple-Negative Breast Cancer Using Spatial Transcriptomics" This project focuses on spatial transcriptomics-based analysis of tumor-immune interactions in triple-negative breast cancer, equipping undergraduates, graduates, and higher-degree holders with practical skills in spatial omics, hands-on experience with real cancer datasets, and valuable opportunities to generate publication-ready findings.

---

Introduction of the Project

Triple-negative breast cancer (TNBC) is one of the most aggressive and difficult-to-treat subtypes of breast cancer, characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. This lack of therapeutic targets, combined with its high spatial and molecular heterogeneity, contributes to poor prognosis and limited treatment options. A critical challenge in TNBC research is understanding the tumor microenvironment (TME) and the intricate interactions between tumor and immune cells, which hold the key to developing more effective therapies.

This research project leverages Spatial Transcriptomics (ST)—a cutting-edge technology that profiles gene expression while preserving the spatial context of tissues. By analyzing publicly available TNBC ST datasets with advanced computational tools, participants will investigate spatial heterogeneity, map immune cell infiltration patterns, and uncover how different tumor regions communicate. The insights gained from this project may help in understanding tumor behavior, immune response, and identifying potential therapeutic strategies.

---

Objective of the Project

To investigate spatial heterogeneity and tumor-immune interactions in triple-negative breast cancer using spatial transcriptomics.

---

Methodology

This project follows a structured, hands-on approach over 8-12 weeks using publicly available TNBC datasets:

1. Literature Review & Background
   Understand TNBC biology and the foundations of Spatial Transcriptomics.

2. Data Acquisition & Preprocessing
   Work with real spatial omics datasets using Seurat v5, STUtility, and other tools.

3. Histology-Gene Expression Integration
   Map H&E images with gene expression data and annotate tissue regions.

4. Spatial Gene Expression Analysis
   Identify spatially variable genes and tumor sub-regions.

5. Cell Type Deconvolution
   Use tools like Cell2location to detect immune cell distribution.

6. Tumor-Immune Architecture Analysis
   Correlate immune cells with gene expression and immune pathways.

7. Visualization & Reporting
   Prepare plots, summaries, and scientific visualizations for presentation.

8. Training sessions will be conducted on ZOOM.

---

Project Workflow

Stage 1: Biological Background and Literature Review

• Understand TNBC molecular and pathological features
• Learn about spatial transcriptomics technologies (e.g., 10x Visium)
• Review spatial data analysis tools and prior work in spatial breast cancer research

Outcome: Ability to define spatial research questions specific to TNBC

Stage 2: Data Acquisition and Preprocessing

• Download raw or preprocessed spatial data
• Load H&E images and spatial coordinates using Seurat v5 or STUtility
• Normalize gene expression data

Outcome: Prepared dataset for downstream spatial analysis

Stage 3: Image Integration and Annotation

• Integrate histological image with gene expression matrix
• Annotate tissue regions (tumor, stroma, immune infiltrate)
• Visualize spatial expression using spatial feature plots

Outcome: Tissue architecture mapped with gene expression data

Stage 4: Identification of Spatially Variable Genes (SVGs)

• Use Seurat, Giotto, or SpatialDE to detect SVGs
• Visualize top SVGs across tissue section

Outcome: Spatial gene signatures and regional heterogeneity identified

Stage 5: Cell Type Deconvolution

• Use Cell2location or Stereoscope to estimate cell-type proportions per spot
• Reference scRNA-seq data (e.g., breast cancer atlas or Human Cell Atlas)

Outcome: Spatial map of immune and stromal cell distributions

Stage 6: Tumor-Immune Architecture Analysis

• Define immune-rich vs immune-cold tumor regions
• Correlate immune cell types with spatial expression of cytokines / chemokines
• Run enrichment analysis (clusterProfiler) to identify immune pathways active in different regions

Outcome: Insights into immune spatial patterns and tumor-TME interactions

Stage 7: Scientific Communication and Reporting

• Generate spatial heatmaps and cell-type overlays
• Prepare a scientific summary of findings, including figures and discussion
• Optional: Create a presentation or poster

Outcome: Enhanced skills in interpreting and communicating spatial omics results

---

Why You Should Attend

• Work on a real, high-impact cancer research problem

• Learn to use cutting-edge bioinformatics tools

• Build a portfolio-ready project for academic or job applications

• Gain mentorship from experienced professionals

---

What Are the Benefits of This Program?

• Certificate of Research Completion

• Personalized Guidance & Q&A

• Gain Publication-Ready Visuals

• Access to Tools like Seurat, Giotto, Cell2location

• Practical experience with spatial omics datasets

• Enhance your resume/CV with project-based skills

---

How It Will Help You in Your Career

• Makes you stand out in research and biotech job applications

• Adds value to your graduate school or PhD applications

• Prepares you for roles in Bioinformatics, Genomics, Cancer Research, and AI in Medicine

• Equips you with hands-on data analysis experience in a trending field.

---

Why Choose BDG LifeSciences for this Program?

BDG LifeSciences has been a leader in bioinformatics research training since 2010, offering high-quality programs that integrate current industry trends. With over 88 successfully completed projects published internationally, we ensure participants gain expertise, practical knowledge, and career-enhancing opportunities in a cost-effective and flexible online format.

• Pioneers in Hands-On Bioinformatics Training with over a decade of experience

• 90 successful research projects delivered globally

• Personalized mentorship, structured curriculum, and project-based learning

• Trusted by thousands of researchers, students, and professionals worldwide

• Affordable, accessible, and practical training with cutting-edge tools

---

Tools Required

• R / RStudio
• Seurat v5
• STUtility / SpatialExperiment
• Giotto
• Cell2location
• clusterProfiler

---

Learning Outcomes

• Understand the principles and applications of spatial transcriptomics
• Gain hands-on experience with spatial data analysis tools
• Identify spatially variable genes and tumor sub-regions
• Perform cell type deconvolution and analyze immune infiltration patterns
• Visualize tumor-immune architecture in spatial context

---

Capstone Challenge (Optional)

• Compare spatial profiles across multiple samples (e.g., TNBC vs ER+)
• Integrate with scRNA-seq data for deeper resolution
• Predict response to immunotherapy based on spatial immune architecture

---

T & C

• Post-Registration Details: Upon successful registration and payment, you will receive a welcome email containing:
• Instructions for system preparation and software installation.
• A dataset of molecules for your project.
• Relevant files, research papers, and materials.
• Session Videos: After each training session, a recording of the same session will be provided for your reference.
• Gmail/YouTube ID Requirement: Registration must be done using a Gmail ID or the email ID linked to your YouTube account. All videos will be uploaded privately on YouTube and can only be accessed by participants of the project.
• Non-Refundable and Non-Transferable: Registration fees are strictly non-refundable and non-transferable under any circumstances.
• Training Session Commitment: Once your system is prepared, inform us of your preferred training schedule. If you are unable to attend a scheduled session, the steps for that phase will be sent to you via email.
• Certificate Eligibility: A certificate will only be awarded upon successful completion of all five project phases and assigned tasks.
• Progress Monitoring: To ensure steady progress, you are required to submit a project report to your guide every fortnight for review and feedback.
• Guide and Community Support: You will have direct access to your guide and a dedicated group of past participants, who are available to address your queries and provide timely support.

---

Must Read

The Research Project Training Program by BDG LifeSciences is not just a course but an investment in your future. The fee you pay guarantees unparalleled value, providing you with cutting-edge skills, real-world experience, and the opportunity to contribute to internationally published research. This program is designed to elevate your academic and professional profile, equipping you with expertise in bioinformatics and drug discovery that is highly sought after in today’s competitive job market.

By participating, you gain the chance to learn from seasoned experts, work on innovative projects, and create a strong foundation for careers in bioinformatics, pharmaceutical research, or higher education. The program’s comprehensive structure ensures you receive everything you need to succeed—training, practical application, resources, certifications, and networking opportunities.

Whether you aim to pursue advanced studies, secure a high-impact job, or become a leader in your field, this program opens doors to new possibilities and heights of success. With BDG LifeSciences, you are not just learning—you are building a future where your contributions to science and technology can make a real difference.

---

How To Register

To secure your spot:

• Click on Register Now button and proceed.
• For queries, contact us at research@bdglifesciences.com

---

Previous Events & Testimonials

Gain insight into our past workshops:

• Video Feedback: Visit our YouTube channel for testimonials.
• Upcoming Programs: Explore other upcoming events here.

---

To get regular updates on Upcoming Job opportunities, Research Projects, Courses, Training and Workshops, kindly join our WhatsApp Channel /  Telegram

TEAM FOR CURRENT/ONGOING RESEARCH PROJECTS

91. ImmunoSpatial Blueprint: Mapping Tumor-Immune Interactions in Triple-Negative Breast Cancer Using Spatial Transcriptomics

1. Dr Malu Sreekumar, Jawaharlal Institute of Post-graduate Medical Education and Research (JIPMER), Puducherry, India.

90. Single-cell RNA-seq Analysis of Chemotherapy-Induced Transcriptomic Changes in Pancreatic Ductal Adenocarcinoma (PDAC)

1. Dr Ilham Mahgoub, Qatar University, Qatar.
2. Ritam Baruah, Ajanta Pharma Limited, Assam, Indi.
3. Aakash Deva Thirukonda Prakash, KTH Royal Institute of Technology, India.

88. Computational Insights into Selective ERβ Agonists for Benign Prostatic Hyperplasia (BPH) Treatment | A Virtual Screening, Molecular Docking & Simulations Study.

1. Shivani Tuli, University of Pittsburg, Pittsburgh, USA.
2. Rakshitha Prakash, Vellore Institute of Technology (VIT), India.
3. Chandrima Das Sinha, Techno India University, India.
4. Swapnaja Gulawani, Agharkar Research Institute, India.
5. Trần Thị Thư, Hồ Chí Minh, Vietnam.

87. Decoding Pan-Cancer Pathogenesis: A Multi-Layered Analysis of Prognostic mRNAs, miRNAs, lncRNAs via Co-Expression Networks and PPINs

1. Ritam Baruah, Ajanta Pharma Limited, Assam, India.
2. Tanmay Bandbe, Guru Nanak Khalsa College of Arts, Science & Commerce, Mumbai, India

86. Unveiling Autoimmune Genes and Regulatory Elements in Head and Neck Squamous Cell Carcinoma through Advanced Machine Learning and Network-Based Analysis

1. Mathews Kennedy, Trivandrum, Kerala, India.
2. Angela Susan Anil, School of Biotechnology, Amrita Vishwa Vidyapeetham, Kerala. 
3. Elham O Mahgoub, Alneelain University, Sudan.

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.