gbyuvd/drugtargetpred-chemselfies
This model is a BERT-like sequence classifier for 221 human protein drug targets, fine-tuned from gbyuvd/chemselfies-base-bertmlm on a dataset derived ChemBL34 (Zdrazil et al. 2023). It predicts potential drug targets using chemical structures represented as SELFIES (Self-Referencing Embedded…
README
model-index: name: gbyuvd/drugtargetpred-chemselfies results: task: type: text-classification dataset: name: test type: custom metrics: name: Accuracy type: Accuracy value: 0.6199 name: Weighted Precision type: Precision value: 0.6142 name: Weighted Recall type: Recall value: 0.6199 name: Weighted F1 type: F1 value: 0.6127 license: cc-by-nc-sa-4.0 metrics: accuracy f1 recall precision libraryname: transformers tags: chemistry biology drug-discovery drug-target chembl34 selfies drugs molecules…
Source attribution
- HuggingFace — gbyuvd/drugtargetpred-chemselfies
Related resources
ChemFIE-SA is a BERT-like sequence classifier for predicting synthesis accessibility given a SELFIES string of a compound, fine-tuned from gbyuvd/chemselfies-base-bertmlm on DeepSA's expanded dataset from Wang et al. 2023.
This model is a lightweight model pre-trained on SELFIES (Self-Referencing Embedded Strings) representations of molecules. It is trained on 2.7M unique and valid molecules taken from COCONUTDB and ChemBL34, with 7.3M total generated masked examples.
ChemFIE-BED is a sentence-transformers based on gbyuvd/chemselfies-base-bertmlm fine-tuned on around (for now) 2 million pairs of valid molecules' SELFIES (Krenn et al. 2020) taken from COCONUTDB (Sorokina et al. 2021) and ChemBL34 (Zdrazil et al. 2023).
zhihan1996/DNA_bert_4
by zhihan1996zhihan1996/DNA_bert_5
by zhihan1996datasets: - UMLS