Milad Rayka (@miladrayka)
github

miladrayka

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  • Stars
    star
    23
  • Global Rank 587,022 (Top 21 %)
  • Followers 5
  • Following 2
  • Registered about 5 years ago
  • Most used languages
    Jupyter Notebook
         71.4 %
    Python
         28.6 %
  • Location 🇮🇷 Iran
  • Country Total Rank 1,868
  • Country Ranking
    Jupyter Notebook
         136
    Python
         560

Top repositories

1

ET_Score

A scoring function based on Extra Trees algorithm for predicting ligand-protein binding affinity
Python
8
star
2

GB_Score

A scoring function based on Gradient Boosting Trees algorithm for predicting ligand-protein binding affinity
Jupyter Notebook
6
star
3

addzyme

Additive Effects on Enzyme Activity Predictor
Jupyter Notebook
2
star
4

ENS_Score

ENS-Score is machine learning-based scoring function, which applies a probabilistic approach to estimate protein-ligand binding affinity.
Jupyter Notebook
2
star
5

protein_ligand_papers

An (almost) ultimate collection of protein-ligand machine learning based scoring function papers.
1
star
6

HIV_inhibitor_prediction

Using graph neural network (Graph isomorphism network) for HIV inhibitor prediction.
Jupyter Notebook
1
star
7

mol2parser

Mol2Parser is a tool for extracting information from mol2 files.
Python
1
star
8

convolutional_neural_networks

Required files for repeating "Investigating the impact of convolutional neural networks through distance-weighted atomic contact features on binding affinity prediction" paper.
Jupyter Notebook
1
star