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Name: Ayse Mutlu
Type: User
Bio: PhD Candidate @ IKU
Location: Istanbul, Turkey
Name: Ayse Mutlu
Type: User
Bio: PhD Candidate @ IKU
Location: Istanbul, Turkey
Interactive Python notebooks for PDBe API training
Tiered Tensor Transform (3T) multi-scale protein-ligand complex pocket structure generation & drug screening
Binding Free Energy Prediction of Protein Ligand complex - PDBBIND refined dataset
This tutorial aims to illustrate the process of setting up a simulation system containing a protein in complex with a ligand, step by step, using the BioExcel Building Blocks library (biobb).
Time Series Forecast with Prophet, VARMAX and LSTM
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
This repository is about prediction of tertiary structure of proteins from the primary structure of proteins (sequences of amino acids). So here, I'm trying to build a neural network that can input sequence of amino acids and output 3D structure of proteins (coordinates of major atoms in proteins that define the overall shape of the protein).
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Python package for graph neural networks in chemistry and biology
Infrastructure for Directed Acyclic Graphs in Julia
DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
My first ever repository, some notebooks useful, others sucks. Topics include file format conversion with obabel, docking with Auto Dock, MD with Charmm GUI and QSAR etc, never expect the format is perfect.
A package for MD, Docking and Machine learning drug discovery pipeline
SageMath in 10 Minutes
Financial Sentiment Analysis with BERT
Code for "Protein Docking Model Evaluation by Graph Neural Networks"
A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
Metadata for registered Julia packages up to Julia v0.6. No longer maintained. Please see https://github.com/JuliaRegistries/General instead.
A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.