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- W2973002085 abstract ": Protein-related interaction prediction is critical to understanding life processes, biological functions, and mechanisms of drug action. Experimental methods used to determine proteinrelated interactions have always been costly and inefficient. In recent years, advances in biological and medical technology have provided us with explosive biological and physiological data, and deep learning-based algorithms have shown great promise in extracting features and learning patterns from complex data. At present, deep learning in protein research has emerged. In this review, we provide an introductory overview of the deep neural network theory and its unique properties. Mainly focused on the application of this technology in protein-related interactions prediction over the past five years, including protein-protein interactions prediction, protein-RNADNA, Protein– drug interactions prediction, and others. Finally, we discuss some of the challenges that deep learning currently faces." @default.
- W2973002085 created "2019-09-19" @default.
- W2973002085 creator A5011002074 @default.
- W2973002085 creator A5042101060 @default.
- W2973002085 creator A5057480166 @default.
- W2973002085 creator A5059817067 @default.
- W2973002085 creator A5074013973 @default.
- W2973002085 creator A5082638291 @default.
- W2973002085 date "2020-04-27" @default.
- W2973002085 modified "2023-10-18" @default.
- W2973002085 title "Deep Learning in the Study of Protein-Related Interactions" @default.
- W2973002085 cites W1019830208 @default.
- W2973002085 cites W1493324970 @default.
- W2973002085 cites W1930624869 @default.
- W2973002085 cites W1951403192 @default.
- W2973002085 cites W1978883675 @default.
- W2973002085 cites W1982583124 @default.
- W2973002085 cites W1983364832 @default.
- W2973002085 cites W1992643433 @default.
- W2973002085 cites W1995449922 @default.
- W2973002085 cites W2010688088 @default.
- W2973002085 cites W2033587897 @default.
- W2973002085 cites W2040990879 @default.
- W2973002085 cites W2044002635 @default.
- W2973002085 cites W2046589863 @default.
- W2973002085 cites W2053003053 @default.
- W2973002085 cites W2077852908 @default.
- W2973002085 cites W2078556671 @default.
- W2973002085 cites W2084619201 @default.
- W2973002085 cites W2108349424 @default.
- W2973002085 cites W2112322820 @default.
- W2973002085 cites W2126671570 @default.
- W2973002085 cites W2128900650 @default.
- W2973002085 cites W2152970345 @default.
- W2973002085 cites W2160784118 @default.
- W2973002085 cites W2160815625 @default.
- W2973002085 cites W2177317049 @default.
- W2973002085 cites W2198606573 @default.
- W2973002085 cites W2245239316 @default.
- W2973002085 cites W2258573009 @default.
- W2973002085 cites W2345512687 @default.
- W2973002085 cites W2412425194 @default.
- W2973002085 cites W2433743436 @default.
- W2973002085 cites W2462108616 @default.
- W2973002085 cites W2473876819 @default.
- W2973002085 cites W2507804718 @default.
- W2973002085 cites W2507811767 @default.
- W2973002085 cites W2513544049 @default.
- W2973002085 cites W2530866625 @default.
- W2973002085 cites W2535071049 @default.
- W2973002085 cites W2540540415 @default.
- W2973002085 cites W2551870464 @default.
- W2973002085 cites W2560048654 @default.
- W2973002085 cites W2585837941 @default.
- W2973002085 cites W2592443671 @default.
- W2973002085 cites W2592742128 @default.
- W2973002085 cites W2601934706 @default.
- W2973002085 cites W2602216144 @default.
- W2973002085 cites W2605844712 @default.
- W2973002085 cites W2609893130 @default.
- W2973002085 cites W2616246685 @default.
- W2973002085 cites W2618265628 @default.
- W2973002085 cites W2621028221 @default.
- W2973002085 cites W2673729825 @default.
- W2973002085 cites W2735905224 @default.
- W2973002085 cites W2736137960 @default.
- W2973002085 cites W2754595644 @default.
- W2973002085 cites W2765298570 @default.
- W2973002085 cites W2765950793 @default.
- W2973002085 cites W2767227490 @default.
- W2973002085 cites W2769897763 @default.
- W2973002085 cites W2770835535 @default.
- W2973002085 cites W2777094228 @default.
- W2973002085 cites W2780777007 @default.
- W2973002085 cites W2781702232 @default.
- W2973002085 cites W2781821160 @default.
- W2973002085 cites W2794896638 @default.
- W2973002085 cites W2799307902 @default.
- W2973002085 cites W2801121099 @default.
- W2973002085 cites W2804651207 @default.
- W2973002085 cites W2807607992 @default.
- W2973002085 cites W2809363952 @default.
- W2973002085 cites W2811033353 @default.
- W2973002085 cites W2883749461 @default.
- W2973002085 cites W2885583144 @default.
- W2973002085 cites W2888358121 @default.
- W2973002085 cites W2890676693 @default.
- W2973002085 cites W2890911678 @default.
- W2973002085 cites W2891713270 @default.
- W2973002085 cites W2891838559 @default.
- W2973002085 cites W2894934545 @default.
- W2973002085 cites W2895366230 @default.
- W2973002085 cites W2895889524 @default.
- W2973002085 cites W2896829849 @default.
- W2973002085 cites W2897440772 @default.
- W2973002085 cites W2897712722 @default.
- W2973002085 cites W2913323966 @default.
- W2973002085 cites W2917488116 @default.