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1
المؤلفون: Santiago, Carlos, Ortega Tenezaca, Bernabé, Barbolla, Iratxe, Fundora, Brenda, Arrasate, Sonia, Dea-Ayuela, M. Auxiliadora, González-Díaz, Humberto, Sotomayor, Nuria, Lete, Esther
مصطلحات موضوعية: Potential target proteins, Friendly interface making, Relative biological activity, 700 activity scores, Antileishmanial compound candidates, 5bd, 5bc, Obtain ifptml models, Different ml algorithms, Leishmanicidal activity, vs, Vitro, Leishmania, Antileishmanial hits, Throughput screening, Svm ), rf ), Random forests, Performed calculating, One strategy, Logistic regression, j774 cells, Large space, General model, Evaluated finding, Computational high, Chembl dataset, Cell lines
Time: 50
وصف الملف: application/vnd.ms-excel
Relation: Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther. Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole Derivatives. http://dx.doi.org/10.1021/acs.jcim.2c00731. http://hdl.handle.net/10261/304205; https://doi.org/10.1021/acs.jcim.2c00731.s003; Sí; Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther; 2022; Dataset of Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2‑Acylpyrrole Derivatives [Dataset]; Figshare; https://doi.org/10.1021/acs.jcim.2c00731.s003; http://hdl.handle.net/10261/331608
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المؤلفون: Santiago, Carlos, Ortega Tenezaca, Bernabé, Barbolla, Iratxe, Fundora, Brenda, Arrasate, Sonia, Dea-Ayuela, M. Auxiliadora, González-Díaz, Humberto, Sotomayor, Nuria, Lete, Esther
مصطلحات موضوعية: Potential target proteins, Friendly interface making, Relative biological activity, 700 activity scores, Antileishmanial compound candidates, 5bd, 5bc, Obtain ifptml models, Different ml algorithms, Leishmanicidal activity, vs, Vitro, Leishmania, Antileishmanial hits, Throughput screening, Svm ), rf ), Random forests, Performed calculating, One strategy, Logistic regression, j774 cells, Large space, General model, Evaluated finding, Computational high, Chembl dataset, Cell lines
Time: 50
وصف الملف: application/vnd.ms-excel
Relation: Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther. Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole Derivatives. http://dx.doi.org/10.1021/acs.jcim.2c00731. http://hdl.handle.net/10261/304205; https://doi.org/10.1021/acs.jcim.2c00731.s002; Sí; Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther; 2022; Dataset of the article Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2‑Acylpyrrole Derivatives [Dataset]; Figshare; https://doi.org/10.1021/acs.jcim.2c00731.s002; http://hdl.handle.net/10261/331596
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3
المؤلفون: Santiago, Carlos, Ortega Tenezaca, Bernabé, Barbolla, Iratxe, Fundora, Brenda, Arrasate, Sonia, Dea-Ayuela, M. Auxiliadora, González-Díaz, Humberto, Sotomayor, Nuria, Lete, Esther
مصطلحات موضوعية: Potential target proteins, Friendly interface making, Relative biological activity, 700 activity scores, Antileishmanial compound candidates, 5bd, 5bc, Obtain ifptml models, Different ml algorithms, Leishmanicidal activity, vs, Vitro, Leishmania, Antileishmanial hits, Throughput screening, Svm ), rf ), Random forests, Performed calculating, One strategy, Logistic regression, Large space, j774 cells, General model, Evaluated finding, Computational high, Chembl dataset, Cell lines
Time: 50
وصف الملف: application/vnd.ms-excel
Relation: Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther. Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole Derivatives. http://dx.doi.org/10.1021/acs.jcim.2c00731. http://hdl.handle.net/10261/304205; https://doi.org/10.1021/acs.jcim.2c00731.s001; Sí; Santiago, Carlos; Ortega Tenezaca, Bernabé; Barbolla, Iratxe; Fundora, Brenda; Arrasate, Sonia; Dea-Ayuela, M. Auxiliadora; González-Díaz, Humberto; Sotomayor, Nuria; Lete, Esther; 2022; Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2‑Acylpyrrole Derivatives [Dataset]; Figshare; https://doi.org/10.1021/acs.jcim.2c00731.s001; http://hdl.handle.net/10261/331583