1. Huilin's Notebook
  2. Bioinformarics
  3. 1. Bio mining notes
    1. 1.1. Taxonomy NCBI
    2. 1.2. parse JSON
  4. 2. Binder design
    1. 2.1. preprocessing
    2. 2.2. design
    3. 2.3. pae_interaction score
    4. 2.4. backbones filtering
    5. 2.5. results
  5. 3. Computational Protein
    1. 3.1. Protein
    2. 3.2. Protein Representation
    3. 3.3. Environment Setup
    4. 3.4. databases: PDB, Swiss-Prot, OMG_Prot50
    5. 3.5. BLAST usage: BLASTp makeblastdb
    6. 3.6. protein strcuture measurement
    7. 3.7. fasta to mutated fasta .py
    8. 3.8. sequence similarity .py
    9. 3.9. foldseek usage
    10. 3.10. MMseqs2 usage
    11. 3.11. localcolabfold usage
    12. 3.12. Encoding Sequences into Integer Representations Using K-mer Binary Mapping
    13. 3.13. parasail in C usage
    14. 3.14. Biopython
    15. 3.15. unipressed.UniprotkbClient
    16. 3.16. daliLite V5 usage
  6. 4. PyMol
  7. MLDL
  8. 5. A Deep learning Neural Network from the scratch via Numpy/Pandas
  9. Statistics
  10. 6. Paird t-Test
  11. 7. Bayesian inference
  12. Random
  13. 8. Shell Bash Slurm Command
  14. 9. LaTex
  15. 10. Python
  16. 11. Visualization
    1. 11.1. Drawing a plane perpendicular to a given line
    2. 11.2. Plotly color
    3. 11.3. Movies
  17. 12. mdbook usage
  18. 13. Hugo: Book theme
  19. 14. Hugo
  20. 15. resources
  21. Contact
  22. World

Huilin's Book

Computational Protein