From 47a85ab65657b880c373ec8bcfe6289d610e2e20 Mon Sep 17 00:00:00 2001 From: Filip Stefaniak Date: Wed, 4 Sep 2024 10:04:32 +0200 Subject: [PATCH] Initial commit --- README.md | 70 ++++++++++++- data/smiles_org+fixed.csv | 201 ++++++++++++++++++++++++++++++++++++++ data/test.csv.xz | Bin 0 -> 567560 bytes data/train.csv.xz | Bin 0 -> 1134224 bytes data/validation.csv.xz | Bin 0 -> 135504 bytes feature_importance.png | Bin 0 -> 43093 bytes ranking.png | Bin 0 -> 723707 bytes 7 files changed, 269 insertions(+), 2 deletions(-) create mode 100644 data/smiles_org+fixed.csv create mode 100644 data/test.csv.xz create mode 100644 data/train.csv.xz create mode 100644 data/validation.csv.xz create mode 100644 feature_importance.png create mode 100644 ranking.png diff --git a/README.md b/README.md index d2a0f00..e08d80a 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,68 @@ -# tox24challenge -Dataset used in Tox24 challenge +Tox24 Challenge Dataset +=========== + +This repository contains molecular structures and descriptors for the Tox24 challenge prepared by me (team name: **filipsPL**). The goal of the challenge was to predict the in vitro activity of compounds' activity against [Transthyretin (TTR)](https://en.wikipedia.org/wiki/Transthyretin) using chemical structure data. + +- [Tox24 Challenge Dataset](#tox24-challenge-dataset) + - [Dataset](#dataset) + - [Descriptors](#descriptors) + - [Importance of features](#importance-of-features) + - [The Challenge Results](#the-challenge-results) + - [References](#references) + + +## Dataset + +This repository includes: + +- The [chemical structures](data/smiles_org+fixed.csv) provided by the organizers and curated by me using my RDKit pipeline. +- **Training set** - a diversified set of 1000 compounds, used for training models [data/train.csv.xz](data/train.csv.xz) +- **Validation set**: a diversified set of 100 compounds, used for final validation of models [data/validation.csv.xz](data/validation.csv.xz) +- **Test set**: 500 compounds used to make predictions. It contains a leaderboard set (200 compounds) and a blind set (300 compounds) [data/test.csv.xz](data/test.csv.xz) + +## Descriptors + +The csv files contain 2D descriptors of molecules, including: + +- DRKitDescriptors (2D) +- molecular fingerprints: + - CDK: + - CDKECFP4 + - CDKEState + - CDKFCFP4 + - CDKmolprop + - CDKpubchem + - CDKstandard + - Indigo fingerprints: + - IndigoResonanceSubstructure + - IndigoSimilarity + - RDKit fingerprints: + - RDkitFP-AtomPair + - RDkitFP-Avalon + - RDkitFP-FeatMorgan4 + - RDkitFP-Layered + - RDkitFP-MACCS + - RDkitFP-Morgan2 + - RDkitFP-Morgan3 + - RDkitFP-Morgan4 + - RDkitFP-Pattern + - RDkitFP-RDKit + - RDkitFP-Torsion + +## Importance of features + +Feature importances according to the final catboost model + +![bar plot](feature_importance.png) + + +## The Challenge Results + +Bar plot showing RMSE of submitted predictions (by me, based on the official results). Congratulations to the winning team Amidoff 🎉! + +![rank](ranking.png) + +## References + +1. [OCHEM Platform for Tox24](https://ochem.eu/static/challenge.do) +2. [Chem. Res. Toxicol. 2024, 37, 6, 825–826](https://pubs.acs.org/doi/10.1021/acs.chemrestox.4c00192) diff --git a/data/smiles_org+fixed.csv b/data/smiles_org+fixed.csv new file mode 100644 index 0000000..360e353 --- /dev/null +++ b/data/smiles_org+fixed.csv @@ -0,0 +1,201 @@ +SMILES_org,SMILES_fixed +CC1=CC[C@H]2C[C@@H]1C2(C)C,CC1=CC[C@H]2C[C@@H]1C2(C)C +CC[C@H](C)[C@H](N1SC2=CC=CC=C2C1=O)C(O)=O,CC[C@H](C)[C@@H](C(=O)O)n1sc2ccccc2c1=O +CCCCCC[C@@H](O)C/C=C\CCCCCCCC(O)=O,CCCCCC[C@@H](O)C/C=C\CCCCCCCC(=O)O +Cl/C=C/Cl,Cl/C=C/Cl +NC1=C(Cl)C=C(C=C1Cl)[N+]([O-])=O,Nc1c(Cl)cc([N+](=O)[O-])cc1Cl +FC1=CC=C(Br)C=C1,Fc1ccc(Br)cc1 +CCCCCCCCCCCCCCCO,CCCCCCCCCCCCCCCO +OCCN1CCNCC1,OCCN1CCNCC1 +CN(C)N,CN(C)N +[Cl-].C[N+]1(C)CCCCC1,C[N+]1(C)CCCCC1 +ClCC(Cl)CCl,ClCC(Cl)CCl +NCC1=CC(CN)=CC=C1,NCc1cccc(CN)c1 +OC(CCl)CCl,OC(CCl)CCl +CC(C)C1=CC(=CC=C1)C(C)C,CC(C)c1cccc(C(C)C)c1 +OCNC(=O)NCO,O=C(NCO)NCO +CCCCC(CC)COCCO,CCCCC(CC)COCCO +O=CC(CC1=CC=C(C(C)(C)C)C=C1)C,CC(C=O)Cc1ccc(C(C)(C)C)cc1 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