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amdens-sci's Projects

aaproperties icon aaproperties

aaProperties takes in one or two multiple sequence alignments as input, β€œcleans” the data into a suitable format and then converts it to a sequence of properties. Depending on if the user used one or two alignments as input, he or she can now either compare the two amino acid sequences against each other, compare the two property sequences against each other, compare individual amino acid sequences against their respective properties or write one of the pairs (amino acid plus properties) into a comma separated file.

ai-bind icon ai-bind

Interpretable AI pipeline improving binding predictions for novel protein targets and ligands

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example πŸ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amdock icon amdock

(Linux) AMDock: Assisted molecular docking with AutoDock4 and AutoDockVina

aminoacidplotting icon aminoacidplotting

Uses protein file codes to download the corresponding mmCif file from PDB and plot the number of each amino acid in the file

bat.py icon bat.py

The Binding Affinity Tool (BAT.py) is a fully automated tool for absolute binding free energy calculations on protein-ligand systems.

bio-yodie icon bio-yodie

Bio-YODIE is GATE's biomedical named entity linking pipeline.

bionoinet icon bionoinet

BionoiNet is a deep learning-based software to classify ligand-binding sites.

bitenet icon bitenet

Spatiotemporal identification of druggable binding sites using deep learning

blues icon blues

Applications of nonequilibrium candidate Monte Carlo (NCMC) to ligand binding mode sampling

clinicaltrialsparser icon clinicaltrialsparser

Python classes / functions to parse Clinical Trial data in the form of XML returned from clinicaltrials.gov. Older version also allows for parsing of Json returned from Lilly COI API.

colabfold icon colabfold

Making Protein folding accessible to all via Google Colab!

combind icon combind

Integrated physics-based and ligand-based modeling.

d4m.jl icon d4m.jl

A D4M module for Julia. D4M was developed in MATLAB by Dr Jeremy Kepner.

d4m.py icon d4m.py

A D4M module for Python. D4M was developed in MATLAB by Dr Jeremy Kepner

dedupe icon dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

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