1. Huilin's Notebook
  2. Bioinformarics
  3. 1. Binder design
    1. 1.1. preprocessing
    2. 1.2. design
    3. 1.3. pae_interaction score
    4. 1.4. backbones filtering
    5. 1.5. results
  4. 2. Computational Protein
    1. 2.1. Protein
    2. 2.2. Protein Representation
    3. 2.3. Environment Setup
    4. 2.4. databases: PDB, Swiss-Prot, OMG_Prot50
    5. 2.5. BLAST usage: BLASTp makeblastdb
    6. 2.6. protein strcuture measurement
    7. 2.7. fasta to mutated fasta .py
    8. 2.8. sequence similarity .py
    9. 2.9. foldseek usage
    10. 2.10. MMseqs2 usage
    11. 2.11. localcolabfold usage
    12. 2.12. Encoding Sequences into Integer Representations Using K-mer Binary Mapping
    13. 2.13. parasail in C usage
    14. 2.14. Biopython
    15. 2.15. unipressed.UniprotkbClient
    16. 2.16. daliLite V5 usage
  5. 3. PyMol
  6. MLDL
  7. 4. A Deep learning Neural Network from the scratch via Numpy/Pandas
  8. Statistics
  9. 5. Paird t-Test
  10. 6. Bayesian inference
  11. Random
  12. 7. Shell Bash Slurm Command
  13. 8. LaTex
  14. 9. Python
  15. 10. Visualization
    1. 10.1. Drawing a plane perpendicular to a given line
    2. 10.2. Plotly color
    3. 10.3. Movies
  16. 11. Hugo: Book theme
  17. 12. Hugo
  18. 13. resources
  19. Contact
  20. World

Huilin's Book

Visualization