Akiyama Lab. (@akiyamalab)
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akiyamalab

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  • Stars
    star
    80
  • Global Org. Rank 64,096 (Top 21 %)
  • Registered almost 9 years ago
  • Most used languages
    Python
         60.0 %
    C++
         30.0 %
    HTML
         10.0 %
  • Location 🇯🇵 Japan
  • Country Total Rank 4,911
  • Country Ranking
    C++
         436
    HTML
         604
    Python
         1,476

Top repositories

1

MEGADOCK

An ultra-high-performance protein-protein docking for heterogeneous supercomputers
C++
47
star
2

NRLMFb

NRLMFβ: Bata-distribution-rescored Neighborhood Regularized Logistic Matrix Factorization for Improving Performance of Drug–Target Interaction Prediction
Python
11
star
3

ghostz-gpu

A GPU-accelerated sequence homology search tool using database subsequence clustering
HTML
10
star
4

BO-DTI

Scripts for "Efficient Hyperparameter Optimization by Using Bayesian Optimization for Drug-Target Interaction Prediction"
Python
7
star
5

ghostz

GHOSTZ: A high-speed homology search tool to detect remote homologues like BLAST using database subsequence clustering.
C++
4
star
6

restretto

REstretto (REuse of sub-STRuctures as an Effective Technique for protein-ligand docking TOol): An virtual screening-oriented protein-ligand docking tool with reuse of fragments
C++
4
star
7

cycpeptppb

Python
3
star
8

SPDRank

Learning-to-Rank Technique based on Ignoring Meaningless Ranking Orders between Compounds
Python
3
star
9

GMpipeline

Python
1
star
10

PAPPION

PAPPION: Fast and Accurate Protein-Protein Interaction Predictions by Structural Profiling and Stacking
Python
1
star