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Name: Yusuf Adeshina
Type: User
Company: @aivant
Bio: Machine Learning | Drug Discovery
Location: New York
Name: Yusuf Adeshina
Type: User
Company: @aivant
Bio: Machine Learning | Drug Discovery
Location: New York
This repository houses my 3D featurizer of metallo-enzyme proteins. It takes in PDB files and the center of mass of binding site metals/metals
NLP for healthcare
Code for master's thesis
Mapping a variable-length sentence to a fixed-length vector using BERT model
BioGrakn Knowledge Graph
Partner specific prediction of protein binding sites
Making Protein folding accessible to all via Google Colab!
This repository contains implementations and illustrative code to accompany DeepMind publications
Notebooks for learning deep learning
Calculates hydrogen-bond interaction tables for protein-small molecule complexes, based on protein PDB and protonated ligand MOL2 structure input. Raschka, Wolf, et al. (2018) J. Computer-Aided Molec. Design
1st Place Solution for Kaggle Recursion Cellular Image Classification Challenge -- https://www.kaggle.com/c/recursion-cellular-image-classification/
Activation Maps (Layers Outputs) and Gradients in Keras.
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
This is a repository for my medium tutorials
A collection of Jupyter notebooks.
Gem to allow easy access to data from the WIPO PATENTSCOPE Web Service
A dependency-free cross-platform swiss army knife for PDB files.
Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files
Contacts-based classifier of biological and crystallographic interfaces
Calculates the Protein Recognition Index (PRI), measuring the similarity between intermolecular H-bonding features in a given protein-ligand complex and the H-bond trends observed in diverse protein-ligand complexes. Raschka, Wolf et al. (2018) JCAMD
Resources and slides from the talk "Publishing (Perfect) Python Packages on PyPI"
README.md available as a template for any Aras Community Project
A README template for anyone to copy and use.
Sequery is a tool to search the sequences of the protein structures in the Protein Data Bank (PDB) for a particular pattern of residues, which may include exact matches and acceptable substitutions based on a user-specified amino acid substitution matrix and/or a numerical threshold.
A toolkit for predicting the binding mode of small molecules interacting with proteins based on interfacial rigidification, as assessed by graph theoretic constraint counting on the covalent and noncovalent bond network. Raschka et al. (2016) Proteins: Structure, Function, and Bioinformatics
Structure-Based Virtual Screening in Spark
A package to predict protein inter-residue geometries from sequence data
Library for manipulating genomic variants and predicting their effects
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.