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Antibiotic Resistance Detector Challenge by IndabaX Tunisia 2022

Helping Tunisia
5 000 TND
Challenge completed almost 3 years ago
Classification
176 joined
115 active
InfoDataLeaderboard
Starti
Dec 03, 22
Closei
Dec 04, 22
Reveali
Dec 04, 22
About

Antibiotic resistance prediction dataset encompasses 17k protein sequences extracted from HMD-ARG-DB. Embeddings available calculated with esm1_t34_670M_UR100 (cls pooling type).

Antibiotic-resistance data were collected and cleaned from seven published ARG (antibiotic resistance gene) databases: Comprehensive Antibiotic Resistance Database (CARD), AMRFinder, ResFinder, Antibiotic Resistance Gene-ANNOTation (ARG-ANNOT), DeepARG, MEGARes, and Resfams. HMD-ARG-DB comprises 17,282 high-quality sequences with labels of 33 antibiotic classes, 7 underlying resistance mechanisms, and their respective gene names.

Files
Description
Files
Contains the target. This is the dataset that you will use to train your model.
Resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
ESM_1b Classifier token embeddings for the sequence
Mean embeddings across the sequence
Shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv. The order of the rows does not matter, but the names of the ‘ID’ must be correct.

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