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  1. 1.   Evaluating point-prediction uncertainties in neural networks for protein-ligand binding prediction
  2. Fan, Ya Ju; Allen, Jonathan E; McLoughlin, Kevin S; Shi, Da; Bennion, Brian J; Zhang, Xiaohua; Lightstone, Felice C
  3. Artificial Intelligence Chemistry. 2023, Jun; 1(1):
  1. 2.   Predicting RNA SHAPE scores with deep learning
  2. Bliss, Noah; Bindewald,Eckart; Shapiro,Bruce
  3. RNA biology. 2020, JUN 1; 1-7.
  1. 3.   Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology
  2. Turner, Oliver C; Aeffner, Famke; Bangari, Dinesh S; High, Wanda; Knight, Brian; Forest, Tom; Cossic, Brieuc; Himmel, Lauren E; Rudmann, Daniel G; Bawa, Bhupinder; Muthuswamy, Anantharaman; Aina, Olulanu H; Edmondson,Elijah; Saravanan, Chandrassegar; Brown, Danielle L; Sing, Tobias; Sebastian, Manu M
  3. Toxicologic pathology. 2019, Oct 23; 192623319881401.
  1. 4.   Correlated mutations: Advances and limitations. A study on fusion proteins and on the cohesin-dockerin families
  2. Halperin, I.; Wolfson, H.; Nussinov, R.
  3. Proteins-Structure Function and Bioinformatics. 2006, Jun; 63(4): 832-845.
  1. 5.   Computational intelligence, bioinformatics and computational biology: A brief overview of methods, problems and perspectives
  2. Kasabov, N.; Sidorov, I. A.; Dimitrov, D. S.
  3. Journal of Computational and Theoretical Nanoscience. 2005, DEC; 2(4): 473-491.
  1. 6.   Fuzzy structure-activity relationships
  2. Luke, B. T.
  3. SAR and QSAR in Environmental Research. 2003 14(1): 41-57.
  1. 7.   Single-chain variable fragments selected on the 57-76 p21Ras neutralising epitope from phage antibody libraries recognise the parental protein
  2. Persic, L.; Horn, I. R.; Rybak, S.; Cattaneo, A.; Hoogenboom, H. R.; Bradbury, A.
  3. Febs Letters. 1999 443(2): 112-116.
  1. 8.   Prognosis of Intravesical Bacillus Calmette-Guerin Therapy For Superficial Bladder Cancer By Immunological Urinary Measurements - Statistically Weighted Syndromes Analysis
  2. Jackson, A. M.; Ivshina, A. V.; Senko, O.; Kuznetsova, A.; Sundan, A.; Odonnell, M. A.; Clinton, S.; Alexandroff, A. B.; Selby, P. J.; James, K.; Kuznetsov, V. A.
  3. Journal of Urology. 1998 159(3): 1054-1063.
  1. 9.   Sequential Assignments and Secondary Structure of the Rna-Binding Transcriptional Regulator Nusb
  2. Altieri, A. S.; Mazzulla, M. J.; Zhou, H. J.; Costantino, N.; Court, D. L.; Byrd, R. A.
  3. Febs Letters. 1997 415(2): 221-226.
  1. 10.   Prediction of Protein Supersecondary Structures Based On the Artificial Neural Network Method
  2. Sun, Z. R.; Rao, X. Q.; Peng, L. W.; Xu, D.
  3. Protein Engineering. 1997 10(7): 763-769.
  1. 11.   TULIP: An RNA-seq-based Primary Tumor Type Prediction Tool Using Convolutional Neural Networks
  2. Jones,Sara; Beyers,Matt; Shukla, Maulik; Xia, Fangfang; Brettin, Thomas; Stevens, Rick; Weil, M Ryan; Ranganathan Ganakammal,Satishkumar
  3. Cancer Informatics. 2022 21: 11769351221139491.
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