Name: Jianmin Wang
Type: User
Company: Yonsei University
Bio: Drug Design , Linux enthusiast , Medicinal_Chemistry_&_ Synthesis , Chemoinformatics , Data Science, Python and C/C++ programmer,Bioinformatics,Deep Learning,AI
Twitter: Jianmin4drugai
Location: **(China)
Blog: https://jianmin2drugai.github.io/
Jianmin Wang's Projects
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion: https://ieeexplore.ieee.org/document/8983212
Molecular Docking Tools
Python 3 fork for the preparation scripts contained in AutoDockTools
This is a python module for automating Raman calculations using GAMESS(us).
Sandbox for the development of active-learning algorithms for automated drug discovery.
Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.
Awesome artificial intelligence in cancer diagnostics and oncology
Awesome resources for artificial intelligence in cardiology
A curated list of awesome Bioinformatics libraries and software.
A curated list of bioinformatics bench-marking papers and resources.
A curated list of awesome Cheminformatics libraries and software.
A curated list of awesome deep learning applications in the field of computational biology
Paper Lists for Graph Neural Networks
A list of awesome resources on the application of machine learning in healthcare
Curated list of known efforts in materials informatics
List of software packages for multi-omics analysis
Awesome Protein Representation Learning
A curated list of Python packages related to chemistry
A curated list of awesome quantum computing learning and developing resources.
A curated list of resources for learning bioinformatics.
Scripts for calculating metrics to assess performance of a drug design software.
A PyMOL plugin for construction, visualization and analysis of glycan molecules. https://www.ncbi.nlm.nih.gov/pubmed/27549814
病原微生物高通量测序数据分析笔记
The Biochemical Algorithms Library
Convolutional neural network analysis for predicting DNA sequence activity.