Patrick Walters (@PatWalters)
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    1,385
  • Global Rank 22,396 (Top 0.8 %)
  • Followers 543
  • Following 11
  • Registered about 12 years ago
  • Most used languages
    Python
    18.3 %
    R
    5.0 %
    HTML
    1.7 %

Top repositories

1

practical_cheminformatics_tutorials

Practical Cheminformatics Tutorials
Jupyter Notebook
369
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2

resources

A Highly Opinionated List of Open Source Cheminformatics Resources
172
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3

rd_filters

A script to run structural alerts using the RDKit and ChEMBL
Python
111
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4

useful_rdkit_utils

Some useful RDKit functions
Jupyter Notebook
90
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5

chem_tutorial

Jupyter Notebook
86
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6

workshop

Jupyter Notebook
55
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7

Free-Wilson

An implementation of the Free-Wilson SAR analysis method using the RDKit
Python
48
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8

TS

Thompson Sampling
Jupyter Notebook
44
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9

solubility

An implementation of Delaney's ESOL method using the RDKit
Python
42
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10

practical_cheminformatics_posts

Practical Cheminformatics Blog Posts
Jupyter Notebook
37
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11

practicalcheminformatics

Jupyter Notebook
25
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12

metk

Model Evaluation Toolkit
Python
24
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13

fragment_expansion

Software tools for fragment-based drug discovery (FBDD)
Jupyter Notebook
23
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14

kmeans

K-means clustering
Jupyter Notebook
19
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15

sfi

An implementation of the Solubility Forecast Index (SFI)
Jupyter Notebook
17
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16

Learning_Cheminformatics

Resources for Learning Cheminformatics with the RDKit
Jupyter Notebook
16
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17

chembl_sim

ChEMBL Similarity Search
Python
16
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18

interactive_plots

Interactive plots with chemical structures
Python
15
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19

EFMC

Code to accompany "Practical Cheminformatics With Open Source Software"
Jupyter Notebook
15
star
20

silly_walks

Identifying silly molecules
Jupyter Notebook
15
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21

yamc

Yet another ML method comparison
Jupyter Notebook
14
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22

rapids_cheminformatics

Some demos using Nvidia RAPIDS for Cheminformatics
Jupyter Notebook
13
star
23

cheminformaticsbook

These files are meant to accompany "What are our models really telling us? A practical tutorial on avoiding common mistakes when building predictive models"
R
11
star
24

dissecting_hype

Code to accompany my blog post "Dissecting the Hype With Cheminformatics"
Jupyter Notebook
11
star
25

comparing_classifiers

Some ideas on methods for comparing classification models
Jupyter Notebook
8
star
26

clusterama

Jupyter Notebook
7
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27

cadd_grc_2013

Code from my GRC talk and the subsequent hands-on session
R
6
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28

drug_like

Comparing methods for identifying drug-like molecules
Jupyter Notebook
6
star
29

CADD_GRC_2019

Slides from my 2019 CADD GRC Talk
6
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30

transformer

Transformer Search code
Jupyter Notebook
6
star
31

faiss_kmeans

K-Means clustering of molecules with the FASS library from Facebook AI Research
Python
6
star
32

protein_tools

Jupyter Notebook
6
star
33

mpro_analysis

Code to accompany my blog post Analyzing the SARS-CoV-2 Main Protease (MPro) Structures
Jupyter Notebook
5
star
34

antibiotic

Reproducing results from "A Deep Learning Approach to Antibiotic Discovery"
Jupyter Notebook
5
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35

benchmark_gp

Benchmarking Gaussian Process Regression on the MoleculeACE dataset
Jupyter Notebook
5
star
36

torchdrug_examples

Jupyter Notebook
5
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37

beyond_lipinski

Looking at drug properties over time
Jupyter Notebook
5
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38

sali

Using the Structure Activity Landscape Index (SALI) to view SARS-CoV-2 Main Protease (MPro) Assay Data
Jupyter Notebook
4
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39

qsar

Simple ML model for performing QSAR
Python
4
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40

exploring_sars_cov2

Code to accompany my blog post Examining the Data From the ChEMBL SARS-Cov-2 Drug Repurposing Screens
Jupyter Notebook
4
star
41

FEP_TI_Comparison

Further analysis of the data in https://chemrxiv.org/articles/Validation_of_AMBER_GAFF_for_Relative_Free_Energy_Calculations/7653434
Jupyter Notebook
4
star
42

interaction_fingerprints

Some experiments with interaction fingerprints
Jupyter Notebook
3
star
43

ring_systems

Tools for identifying ring_systems
Jupyter Notebook
3
star
44

escher

Code for assigning molecular symmetry
Jupyter Notebook
3
star
45

compare_regression

Tools for comparing regression models
Jupyter Notebook
2
star
46

neighbors

batch search for compound neighbors
Python
2
star
47

datafiles

2
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48

benchmark_map4

Benchmarking the MAP4 fingerprint in regression models
Jupyter Notebook
2
star
49

patwalters.github.io

HTML
2
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50

casp

Utilities for CASP
Jupyter Notebook
2
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51

plotting_distributions

Code to accompany my blog post on plotting distributions
Jupyter Notebook
2
star
52

notebook_share

Jupyter Notebook
2
star
53

gpu_kmeans

GPU KMeans example
Python
1
star
54

reaction_transform_reagets

Expanding reagent space with simple, one-step reactions
1
star
55

eval_wildwood

A quick evaluation of WildWood: a new Random Forest algorithm
1
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56

rapids_test

some notebooks for testing RAPIDS
Jupyter Notebook
1
star
57

ml_drug_discovery_validation_sets

Validation sets, and associated commentary, for machine learning in drug discovery
1
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58

acs_spring_2019_acid_base

Jupyter Notebook
1
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59

az_colab

Collaboration with David
Jupyter Notebook
1
star
60

tag-link

Tag and link are utilities for command-line molecular design
Python
1
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61

ngfp_benchmark

Benchmark Tests of Neural Graph Fingerprints
Jupyter Notebook
1
star
62

som

Self-Organizing Maps
Jupyter Notebook
1
star
63

molfeat_llm_examples

Some explorations of LLMs using Molfeat
Jupyter Notebook
1
star
64

jcamd_model_comparison

Code to accompany Comparing Classification Models - A Practical Tutorial
Jupyter Notebook
1
star
65

mutiple-comparisons

Code to accompany my blog post Multiple Comparisons, Non-Parametric Statistics and Post-Hoc Tests
Jupyter Notebook
1
star
66

dataviz-acs-fall-2015

Code to accompany my talk "Integrating data visualization into the drug discovery workflow" at ACS Boston 2015
R
1
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