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I’m finalising an MSc thesis that revolves around protein-ligand docking and I’d like a skilled collaborator to guide me through the analysis and interpretation of my AutoDock results. The docking runs are complete; what I need now is a clear, publication-quality story extracted from the data. Here’s the current state: • Receptor and ligand preparation followed the standard AutoDock 4 workflow. • Multiple docking runs produced clusters, binding energies and poses that still need rigorous filtering and visual explanation. What I want from you: 1. Inspect my grid parameters and scoring to confirm the protocol’s validity. 2. Parse the *.dlg files, cluster the poses, and identify the most reliable binding modes. 3. Generate interaction maps and figures (PyMOL, LigPlot+ or equivalent) suitable for direct insertion into the thesis. 4. Provide concise commentary that explains why the selected poses are biologically plausible, how they compare with literature controls, and what the binding energies imply. 5. Deliver clean tables (CSV/Excel) and high-resolution images (PNG/SVG) together with a brief “Results & Discussion” draft I can adapt into my chapter. Acceptance criteria: • Top poses ranked with RMSD, binding energy and key residue contacts clearly reported. • At least three publication-ready figures (2D interaction diagram, 3D binding pocket view, energy cluster plot). • A methodological note (~1 page) justifying docking parameters and validation approach. • All scripts or command lines used, so I can reproduce the workflow later. If you thrive on AutoDock data crunching and can explain scientific findings in plain, thesis-friendly language, I’d love to work together and wrap this chapter up efficiently.
Project ID: 40453150
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7 freelancers are bidding on average ₹2,004 INR for this job

1. I am an expert in writing on Protein-Ligand Docking Thesis. I have possess a strong knowledge in writing Protein-Ligand Docking Thesis. I have done many works similar to this project. Please feel free to connect in chat for discussion. Sure I can handle your project on Protein-Ligand Docking Thesis. 2. I read your project description and I am sure that I can handle your project. 3. Also, an expert in Research writing, research reports, essays and advance essays, dissertations. 4. I will ensure that your project will be delivered on time with high standard. 5. Expert in all referencing styles (APA/ Harvard / IEEE /MLA/etc.). 6. 100 % Assurance on zero percent plagiarism. 7. TURNITIN / COPYSCAPE plagiarism report will be provided along with completed work 8. Assistance will be provided with the number of clarifications until client satisfaction 9. I will provide assistance even after the payment. And will maintain data (content) security. ● Free Turnitin plagiarism report ● Free Referencing ● I have more than 12 years of experience. ● This is my profile: https://www.freelancer.in/u/citijayamala
₹7,500 INR in 3 days
7.3
7.3

I can support your protein-ligand docking thesis with data analysis and visualization. MIT graduate with strong computational biology and ML background. I have worked with molecular data, statistical analysis, and Python-based scientific computing. I will help with docking analysis, results interpretation, and presenting data compellingly for your thesis.
₹1,050 INR in 7 days
3.2
3.2

Your thesis on protein-ligand docking sounds fascinating! I can help with Python coding and visualization to bring your ideas to life. What specific aspects are you looking for support on?
₹1,080 INR in 7 days
2.5
2.5

Dear Client, I have already done two five star projects about molecular docking research and assignment help on this platform. I can provide you with best methodology review from preparation to high quality 3d and 2d diagrams of protein -ligand interactions, along with any analysis and write-up. Feel free to discuss any more details and I will be ready to start the work right away. Warm Regards, Nadir Zaman Bioinformatics expert and Microbiologist
₹1,300 INR in 3 days
2.6
2.6

Hi, I can help with turning your AutoDock results into a publication-quality thesis “Results & Discussion” narrative with reproducible figures and clean tables. dlg files to filter clusters and select the most reliable binding modes with RMSD, energies, and key residue contacts. To reduce risk, I’ll share an audit trail of scripts/commands and a quick interim summary for your feedback. What receptor/ligand and grid settings did you use (including exhaustiveness and num modes), and do you have any known literature controls for comparison? If you share the dlg files and receptor/ligand prep notes, we can begin right away.
₹600 INR in 3 days
0.0
0.0

Hi, I can help you analyze and interpret your completed AutoDock 4 docking results and turn them into a clear, thesis-ready Results and Discussion section. I have experience in scientific research, thesis writing, data analysis, and academic documentation. For this project, I can assist in reviewing your docking protocol, checking grid/scoring parameters, organizing the docking outputs, ranking the best poses based on binding energy, RMSD, cluster reliability, and key residue interactions, then presenting the results in clean tables and publication-quality figures. I can also prepare 2D interaction diagrams, 3D binding pocket visuals, and an energy/cluster summary figure using tools such as PyMOL, LigPlot+, Python, or equivalent visualization methods. Along with this, I will provide a concise methodological note explaining the docking validation approach and a well-written Results & Discussion draft in thesis-friendly language. My focus will be on making your chapter clear, reproducible, and scientifically justified. I will also include the scripts, commands, or workflow steps used so you can easily reproduce the analysis later. I am detail-oriented, organized, and experienced in preparing academic outputs that are clear, polished, and suitable for thesis submission. I would be glad to collaborate with you and help finalize this chapter efficiently.
₹1,050 INR in 7 days
0.0
0.0

Hello, I'm Raymond Gasembe. This project fits very well with my background in computational biology, molecular analysis workflows, and scientific interpretation. I understand that at this stage the challenge is no longer running the docking itself, but turning raw AutoDock outputs into a scientifically defensible and publication quality story, which includes validating the docking setup, identifying the most biologically meaningful poses, interpreting residue interactions carefully, and presenting the results clearly for thesis submission. I’m comfortable working with AutoDock outputs (*.dlg), pose clustering, RMSD analysis, interaction mapping, and visualization tools such as PyMOL and LigPlot+. I can also organize the results into clean figures, reproducible workflows, and thesis friendly explanations based on your preferences rather than just technical descriptions. I also understand the importance of reproducibility for MSc work, so all command lines, scripts, and workflow notes would be documented clearly. I’d be happy to review your docking outputs and help finalize this chapter efficiently. Best regards,
₹1,450 INR in 7 days
0.0
0.0

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