Alex Morehead (amorehead)

amorehead

Geek Repo

Company:University of Missouri

Location:Columbia, Missouri

Home Page:https://amorehead.github.io/

Twitter:@MoreheadAlex

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Alex Morehead's repositories

awesome-molecular-generation

Awesome papers related to generative molecular modeling and design.

alphafold_non_docker

Open source code for AlphaFold.

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alphafold3-pytorch-lightning-hydra

Implementation of AlphaFold 3 with the PyTorch Lightning + Hydra

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dots

A collection of dot configuration files for personal use.

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SSL-With-DR-And-GNNs

[IEEE ICMLA '23] Semi-supervised learning with dimensionality reduction and graph neural networks.

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gdown

Google Drive Public File Downloader when Curl/Wget Fails

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awesome-docking

An awesome & curated list of docking papers

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MMDiff

Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion

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amorehead.github.io

Personal website (based on al-folio)

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ccdutils

A set of python tools to deal with PDB chemical components definitions for small molecules, taken from the wwPDB Chemical Component Dictionary, uses RDKit

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cense-ionic

Helping facilitate sensical personal finance practices.

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DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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dimorphite_dl

Dimorphite-DL adds hydrogen atoms to molecular representations, as appropriate for a user-specified pH range. It is a fast, accurate, accessible, and modular open-source program for enumerating small-molecule ionization states.

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graphein

Protein Graph Library

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gypsum_dl

Gypsum-DL is a free, open-source program that converts 1D and 2D small-molecule representations (SMILES strings or flat SDF files) into 3D models. It outputs models with alternate ionization, tautomeric, chiral, cis/trans isomeric, and ring-conformational states.

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InterstellarOceans

A round-robin tournament scheduler written in Angular 6+.

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Meeko

Interfacing RDKit and AutoDock

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NeMo

NeMo: a toolkit for conversational AI

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NeuralPLexer

NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

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openfold

Trainable, memory-efficient, and GPU-friendly PyTorch 2.0 reproduction of AlphaFold 2

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posebusters

Plausibility checks for generated molecule poses.

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posecheck

Pose checks for 3D Structure-based Drug Design methods

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ProLIF

Interaction Fingerprints for protein-ligand complexes and more

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch_geometric

Graph Neural Network Library for PyTorch

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RoseTTAFold2NA

RoseTTAFold2 protein/nucleic acid complex prediction

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torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

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