I will analyze molecular dynamics trajectories and protein ligand contacts

China

I speak English

Bioinformatics Virtual Knockout Molecular Dynamics RNAseq DTA

I am Daniel Zhang, a bioinformatics researcher in Changsha, China, with a master's degree. I analyze virtual gene knockout results, molecular dynamics trajectories, drug target affinity predictions, s...
About this Gig

I analyze existing molecular dynamics trajectories and return clear figures and the numerical data behind them.


Basic covers one supplied system up to 100 ns: matching-file checks, protein and ligand RMSD, residue RMSF, editable CSV tables, figures, analysis scripts and a README recording selections, reference and time window.


Please supply matching trajectory, topology and structure files, a system description and your research question. Contact persistence, pocket distances and multi-system comparisons are scoped separately.


For a new protein-small-molecule simulation, send the protein or gene ID, species and compound name or SMILES. Structure preparation, parameter selection, a 10 ns pilot and longer cloud runs can be quoted separately after checking the system and compute needs.


Message me before ordering to confirm file compatibility and scope. Written communication is welcome. I use AI-assisted coding and check the code and outputs; tell me your data-handling restrictions before sharing files.

Technology:

Jupyter Notebook

Analysis Type:

Quantitative Analysis

•

Descriptive Analysis

Expertise:

Statistics

•

Time series analysis

Programming language:

Python

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R

Tools:

Other