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Keyword [proteins]
Result: 61 - 80 | Page: 4 of 4
61. Toward an automated strategy for superfamily analysis and characterization of proteins
62. Design and implementation of patterned surfaces for on-probe cleanup and concentration of proteins, protein digests, and DNA prior to analysis by MALDI-TOF-MS
63. From networks to proteins: Modeling and optimization with Markovian models
64. Efficient Monte Carlo Methods for Sampling and Inference: Networks, Brains, Proteins
65. Topology-independent structure-based alignment for modeling common cores in proteins
66. Motor proteins and non-Gaussian areal data: Advances in stochastic modeling and computation
67. Active learning for the prediction of asparagine and aspartate hydroxylation sites on human proteins
68. Bio-photosensors based on monolithic integration of light sensitive proteins with semiconductor devices and integrated circuits
69. Studying Chaperones in Oxidative Environments Using Fluorescence Microscopy Tools and Approaches in Live Cells
70. An efficient method for finding common substructures in proteins
71. Regulation of neural plate border formation by distal-less proteins
72. Ecological, physiological and molecular responses of Iris hexagona to salinity stress
73. Divergent alignments (DIVA): Multiple alignment techniques for proteins with less than 20% identity
74. I. Fabrication of microfluidic channel systems and components in poly(dimethylsiloxane). II. Analysis of reactions of proteins using charge ladders and capillary electrophoresis
75. Surface engineering and soft lithography in biology
76. Recovery of proteins in a second-generation dynamic field gradient focusing device
77. Effect of adjacent satellite DNA on the electroporation efficiency and on the stability of the TK(+) phenotype, of neo and HSV-1 tk containing plasmids, and detection of satellite DNA-binding proteins
78. Optimization of Optogenetic Proteins and Protein-Focused Deep Learning Algorithm
79. The Design And Implementation Of Biochip Measurement And Control System
80. Research On ATP-binding Proteins Prediction Based On Deep Learning
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