Works (3)

Updated: July 5th, 2023 15:57

2019 journal article

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

NATURE COMMUNICATIONS, 10.

By: M. Menden*, D. Wang*, M. Mason*, B. Szalai*, K. Bulusu*, Y. Guan*, T. Yu*, J. Kang* ...

co-author countries: Germany 🇩🇪 United Kingdom of Great Britain and Northern Ireland 🇬🇧 Hungary 🇭🇺 Korea (Republic of) 🇰🇷 United States of America 🇺🇸
MeSH headings : ADAM17 Protein / antagonists & inhibitors; Antineoplastic Combined Chemotherapy Protocols / pharmacology; Antineoplastic Combined Chemotherapy Protocols / therapeutic use; Benchmarking; Biomarkers, Tumor / genetics; Cell Line, Tumor; Computational Biology / methods; Computational Biology / standards; Datasets as Topic; Drug Antagonism; Drug Resistance, Neoplasm / drug effects; Drug Resistance, Neoplasm / genetics; Drug Synergism; Genomics / methods; Humans; Molecular Targeted Therapy / methods; Mutation; Neoplasms / drug therapy; Neoplasms / genetics; Pharmacogenetics / methods; Pharmacogenetics / standards; Phosphatidylinositol 3-Kinases / genetics; Phosphoinositide-3 Kinase Inhibitors; Treatment Outcome
Source: Web Of Science
Added: July 1, 2019

2005 journal article

Artificial neural network modeling of peptide mobility and peptide mapping in capillary zone electrophoresis

JOURNAL OF CHROMATOGRAPHY A, 1096(1-2), 58–68.

By: M. Jalali-Heravi n, Y. Shen n, M. Hassanisadi* & M. Khaledi n

co-author countries: Iran (Islamic Republic of) 🇮🇷 United States of America 🇺🇸
author keywords: peptide mapping; capillary zone electrophoresis; electrophoretic mobility; artificial neural networks
MeSH headings : Amino Acid Sequence; Cytochromes c / chemistry; Electrophoresis, Capillary / methods; Glucagon / chemistry; Molecular Sequence Data; Multivariate Analysis; Neural Networks, Computer; Oligopeptides / isolation & purification; Peptide Fragments / chemistry; Peptide Mapping / methods; Regression Analysis
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Prediction of electrophoretic mobilities of peptides in capillary zone electrophoresis by quantitative structure-mobility relationships using the offord model and artificial neural networks

ELECTROPHORESIS, 26(10), 1874–1885.

By: M. Jalali-Heravi n, Y. Shen n, M. Hassanisadi n & M. Khaledi n

co-author countries: United States of America 🇺🇸
author keywords: artificial neural networks; capillary zone electrophoresis; electrophoretic mobility; peptide separation and mapping; structure-mobility relationship
MeSH headings : Electrophoresis, Capillary / methods; Neural Networks, Computer; Peptides / chemistry; Peptides / isolation & purification; Regression Analysis; Reproducibility of Results; Structure-Activity Relationship
Source: Web Of Science
Added: August 6, 2018