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- W3107408030 endingPage "681" @default.
- W3107408030 startingPage "665" @default.
- W3107408030 abstract "The rapid growth in technological advances and quantity of scientific data over the past decade has led to several challenges including data storage and analysis. Accurate models of complex datasets were previously difficult to develop and interpret. However, improvements in machine learning algorithms have since enabled unparalleled classification and prediction capabilities. The application of machine learning can be seen throughout diverse industries due to their ease of use and interpretability. In this review, we describe popular machine learning algorithms and highlight their application in pharmaceutical protein development. Machine learning models have now been applied to better understand the nonlinear concentration dependent viscosity of protein solutions, predict protein oxidation and deamidation rates, classify sub-visible particles and compare the physical stability of proteins. We also applied several machine learning algorithms using previously published data and describe models with improved predictions and classification. The authors hope that this review can be used as a resource to others and encourage continued application of machine learning algorithms to problems in pharmaceutical protein development." @default.
- W3107408030 created "2020-12-07" @default.
- W3107408030 creator A5018250379 @default.
- W3107408030 creator A5060120854 @default.
- W3107408030 date "2021-02-01" @default.
- W3107408030 modified "2023-10-14" @default.
- W3107408030 title "Prediction Machines: Applied Machine Learning for Therapeutic Protein Design and Development" @default.
- W3107408030 cites W1806205365 @default.
- W3107408030 cites W1944658708 @default.
- W3107408030 cites W1964343757 @default.
- W3107408030 cites W1964940342 @default.
- W3107408030 cites W1971021060 @default.
- W3107408030 cites W1973185731 @default.
- W3107408030 cites W1974166884 @default.
- W3107408030 cites W1977149004 @default.
- W3107408030 cites W1978286380 @default.
- W3107408030 cites W1986431312 @default.
- W3107408030 cites W1987350900 @default.
- W3107408030 cites W1988790447 @default.
- W3107408030 cites W1992419399 @default.
- W3107408030 cites W1994624055 @default.
- W3107408030 cites W2002683413 @default.
- W3107408030 cites W2013827851 @default.
- W3107408030 cites W2016060560 @default.
- W3107408030 cites W2020786104 @default.
- W3107408030 cites W2022124897 @default.
- W3107408030 cites W2025444507 @default.
- W3107408030 cites W2025452192 @default.
- W3107408030 cites W2027839322 @default.
- W3107408030 cites W2032556503 @default.
- W3107408030 cites W2034763070 @default.
- W3107408030 cites W2036140733 @default.
- W3107408030 cites W2041528923 @default.
- W3107408030 cites W2052078346 @default.
- W3107408030 cites W2053519499 @default.
- W3107408030 cites W2055955780 @default.
- W3107408030 cites W2056300299 @default.
- W3107408030 cites W2061042699 @default.
- W3107408030 cites W2076100371 @default.
- W3107408030 cites W2079898427 @default.
- W3107408030 cites W2080602313 @default.
- W3107408030 cites W2083857255 @default.
- W3107408030 cites W2092218393 @default.
- W3107408030 cites W2097503860 @default.
- W3107408030 cites W2100630099 @default.
- W3107408030 cites W2104467962 @default.
- W3107408030 cites W2104489082 @default.
- W3107408030 cites W2105908180 @default.
- W3107408030 cites W2105981176 @default.
- W3107408030 cites W2114793575 @default.
- W3107408030 cites W2116296021 @default.
- W3107408030 cites W2120415971 @default.
- W3107408030 cites W2125201455 @default.
- W3107408030 cites W2149048950 @default.
- W3107408030 cites W2151900904 @default.
- W3107408030 cites W2155614457 @default.
- W3107408030 cites W2157177751 @default.
- W3107408030 cites W2158396622 @default.
- W3107408030 cites W2181527856 @default.
- W3107408030 cites W2213443318 @default.
- W3107408030 cites W2222985666 @default.
- W3107408030 cites W2223951617 @default.
- W3107408030 cites W2269652757 @default.
- W3107408030 cites W2302054322 @default.
- W3107408030 cites W2329252010 @default.
- W3107408030 cites W2346532858 @default.
- W3107408030 cites W2348961663 @default.
- W3107408030 cites W2397335709 @default.
- W3107408030 cites W2519539312 @default.
- W3107408030 cites W2566621816 @default.
- W3107408030 cites W2574854002 @default.
- W3107408030 cites W2582317828 @default.
- W3107408030 cites W2583922609 @default.
- W3107408030 cites W2725756931 @default.
- W3107408030 cites W2737115269 @default.
- W3107408030 cites W2737131213 @default.
- W3107408030 cites W2758484418 @default.
- W3107408030 cites W2778541577 @default.
- W3107408030 cites W2785550499 @default.
- W3107408030 cites W2789495985 @default.
- W3107408030 cites W2792933925 @default.
- W3107408030 cites W2805912669 @default.
- W3107408030 cites W2809499620 @default.
- W3107408030 cites W2810124926 @default.
- W3107408030 cites W2883577455 @default.
- W3107408030 cites W2893943240 @default.
- W3107408030 cites W2925404235 @default.
- W3107408030 cites W2937307539 @default.
- W3107408030 cites W2946642085 @default.
- W3107408030 cites W2952317511 @default.
- W3107408030 cites W2978043812 @default.
- W3107408030 cites W2980272550 @default.
- W3107408030 cites W2981728535 @default.
- W3107408030 cites W2987600573 @default.
- W3107408030 cites W2999044305 @default.
- W3107408030 cites W3049408250 @default.
- W3107408030 cites W3105357530 @default.
- W3107408030 cites W4212883601 @default.