Comments (2)
sorry I pull from github first time, but i did not commit docker contain,so it just need pull again,and remember commit when logout.
from masif.
But the docker tutorial really make me very confuse,i just want to run protein docking with my data which is two pdb chains.
i only see it run with benchmark data.......
from masif.
Related Issues (20)
- Problem about the 'vertex_mean_curvature' and 'vertex_gaussian_curvature' HOT 1
- Incorporation of cofactors
- Descriptor NaN
- MaSIF_search usage HOT 1
- can't install reduce HOT 3
- Issue with opening PLY files in the latest version of PyMOL HOT 3
- update tf version to 1.15
- why (1 - auc_roc) HOT 4
- Non-Pdb bank structures HOT 2
- Can't install MSMS HOT 1
- Data processing script is not working HOT 3
- Enhancement: Varying pH for predicting patches
- can't install reduce HOT 4
- Extract the residue numbers of a patch HOT 12
- How to establish a connection between amino acid residues and a patch
- Out of memory during training
- β-strand extract scripts
- embedding extraction HOT 2
- Training a new model
- defining mu and rho for conv layers
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from masif.