
Fine tuned Protein lanuguage models for protease inhibtor prediction : PIPES-M-model.rar and PIP-BERT.rar Strcture aware autoencoder hyperparamtuned model: Alphafold Multimer raw scores when screening 116 predicted protease inhibtor and 43 predicted non protease inhibitor against siybean immune proteases : AFM_scores.rar AlphaFold mulimer outputs JSON and PDBs for 116 predicted protease inihibtors screened against soybean serine protease: Sprotease-MAPH-116_positivehits_out.rar AlphaFold mulimer outputs JSON and PDBs for 116 predicted protease inhibtors screened against soybean cysteine protease: PDB_cprotease_pos116_out.rar AlphaFold mulimer outputs JSON and PDBs for 43 predicted non-proteases inhibitors screened against soybean serine protease: Sprotease_43_negativehits_out.rar AlphaFold mulimer outputs JSON and PDBs for 43 predicted non-proteases inhibitors screened against soybean cysteine protease: Cprotease_43_negativehits_out.rar
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
