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2010, Methods in molecular biology, ISBN 1607618419, Volume 673
Web Resource
Analytical Chemistry, ISSN 0003-2700, 02/2003, Volume 75, Issue 4, pp. 768 - 774
This paper investigates the use of survival functions and expectation values to evaluate the results of protein identification experiments. These functions are... 
CHEMISTRY, ANALYTICAL | SEQUENCE DATABASES | PEPTIDES | Trypsin - analysis | Proteins - analysis | Software | Statistics as Topic - methods | Mass Spectrometry - methods | Proteins | Evaluation | Usage | Chemistry, Analytic | Analysis | Statistical methods | Mass spectrometry | Methods | Statistics | Spectrum analysis | Index Medicus
Journal Article
Science, ISSN 0036-8075, 9/2011, Volume 333, Issue 6049, pp. 1633 - 1637
Passive transfer of broadly neutralizing HIV antibodies can prevent infection, which suggests that vaccines that elicit such antibodies would be protective.... 
Germ cells | HIV | B lymphocytes | Neutralizing antibodies | REPORTS | Antibodies | Bone marrow | Plasma cells | Viruses | Trimers | Inhibitory concentration 50 | INDIVIDUALS | MEMORY B-CELLS | NEUTRALIZING ANTIBODIES | EPITOPE | TYPE-1 GP120 | MULTIDISCIPLINARY SCIENCES | GP41 | ENVELOPE GLYCOPROTEIN | RECEPTOR | HUMAN-IMMUNODEFICIENCY-VIRUS | HUMAN MONOCLONAL-ANTIBODIES | Consensus Sequence | Antibody Specificity | Humans | Antibodies, Neutralizing - metabolism | Immunoglobulin Heavy Chains - chemistry | Molecular Sequence Data | Crystallography, X-Ray | HIV Envelope Protein gp120 - metabolism | Genes, Immunoglobulin Heavy Chain | HIV Envelope Protein gp120 - immunology | Immunoglobulin Light Chains - chemistry | HIV Infections - immunology | Antibodies, Neutralizing - immunology | Molecular Mimicry | HIV Antibodies - immunology | Cloning, Molecular | HIV Envelope Protein gp120 - chemistry | Binding Sites | HIV Antibodies - metabolism | Amino Acid Sequence | CD4 Antigens - immunology | Antibody Affinity | HIV Antibodies - chemistry | Antibodies, Neutralizing - chemistry | Immunoglobulin Fab Fragments - chemistry | Protein Conformation | Mutation | Binding Sites, Antibody | CD4 Antigens - metabolism | HIV antibodies | Physiological aspects | Genetic aspects | Research | Nucleotide sequencing | Health aspects | Protein binding | Proteins | Immunoglobulins | Vaccines | Human immunodeficiency virus--HIV | Binding sites | Polyclonal antibodies | Index Medicus
Journal Article
2010, Methods in molecular biology, ISBN 1607618419, Volume 673., xi, 327
Book
Journal Article
Nature, ISSN 0028-0836, 05/2016, Volume 534, Issue 7605, pp. 55 - 62
Somatic mutations have been extensively characterized in breast cancer, but the effects of these genetic alterations on the proteomic landscape remain poorly... 
PATHWAYS | HETEROGENEITY | PIK3CA MUTATIONS | PHOSPHORYLATION | MULTIDISCIPLINARY SCIENCES | GENES | BIOLOGY | RECEPTOR | EXPRESSION | SIGNATURE | REVEALS | Protein Kinases - metabolism | Focal Adhesion Kinase 1 - genetics | Receptor, Epidermal Growth Factor - genetics | Protein Kinases - genetics | Cyclin-Dependent Kinases - metabolism | Receptor, ErbB-2 - genetics | Receptors, G-Protein-Coupled - metabolism | Genomics | Humans | Gene Expression Regulation, Neoplastic | Receptor, ErbB-2 - metabolism | Phosphoproteins - metabolism | Receptor-Interacting Protein Serine-Threonine Kinase 2 - genetics | Tumor Suppressor Protein p53 - genetics | Breast Neoplasms - metabolism | Receptor-Interacting Protein Serine-Threonine Kinase 2 - metabolism | Breast Neoplasms - enzymology | Receptor, Epidermal Growth Factor - metabolism | Phosphoproteins - analysis | Mass Spectrometry | src-Family Kinases - metabolism | Female | Cyclin-Dependent Kinases - genetics | Focal Adhesion Kinase 1 - metabolism | Chromosomes, Human, Pair 5 - genetics | Breast Neoplasms - classification | Chromosome Deletion | p21-Activated Kinases - genetics | Signal Transduction | Molecular Sequence Annotation | Calcium-Binding Proteins - deficiency | Phosphoproteins - genetics | Mutation - genetics | S-Phase Kinase-Associated Proteins - metabolism | p21-Activated Kinases - metabolism | Phosphatidylinositol 3-Kinases - genetics | Breast Neoplasms - genetics | Class I Phosphatidylinositol 3-Kinases | Proteomics | S-Phase Kinase-Associated Proteins - genetics | Receptors, G-Protein-Coupled - genetics | src-Family Kinases - genetics | Calcium-Binding Proteins - genetics | Breast cancer | Genetic aspects | Research | Oncology, Experimental | Cancer | Physiological aspects | Methods | Mutation (Biology) | Proteins | Gene amplification | Peptides | Protein expression | Genomes | Mutation | Kinases | Deoxyribonucleic acid--DNA | Tumors | Index Medicus
Journal Article
Nature Medicine, ISSN 1078-8956, 10/2018, Volume 24, Issue 10, pp. 1559 - 1567
Visual inspection of histopathology slides is one of the main methods used by pathologists to assess the stage, type and subtype of lung tumors. Adenocarcinoma... 
TARGETED THERAPY | INACTIVATION | MEDICINE, RESEARCH & EXPERIMENTAL | NEURAL-NETWORKS | PROMISE | BIOCHEMISTRY & MOLECULAR BIOLOGY | ADENOCARCINOMAS | EGFR MUTATION | KRAS | LKB1 | SOCIETY | CELL BIOLOGY | Carcinoma, Non-Small-Cell Lung - pathology | Adenocarcinoma - pathology | Neoplasm Proteins - classification | Carcinoma, Non-Small-Cell Lung - genetics | Adenocarcinoma - classification | Carcinoma, Squamous Cell - genetics | Carcinoma, Squamous Cell - pathology | Humans | Gene Expression Regulation, Neoplastic | Carcinoma, Non-Small-Cell Lung - diagnosis | Mutation - genetics | Deep Learning | Carcinoma, Squamous Cell - diagnosis | Adenocarcinoma - diagnosis | Carcinoma, Non-Small-Cell Lung - classification | Carcinoma, Squamous Cell - classification | Adenocarcinoma - genetics | Neoplasm Proteins - genetics | Neural Networks (Computer) | Usage | Gene mutations | Machine learning | Development and progression | Genetic aspects | Lung cancer, Non-small cell | Histology, Pathological | Identification and classification | Methods | Adenocarcinoma | Paraffins | Visual discrimination learning | Squamous cell carcinoma | Medical imaging | Epidermal growth factor receptors | p53 Protein | Lung | Lung cancer | Artificial neural networks | Inspection | Genomes | Paraffin | Tissues | Histopathology | Neural networks | Predictions | Mathematical models | Mutation | Cancer | Tumors | Image classification | Index Medicus
Journal Article
Nature Methods, ISSN 1548-7091, 11/2014, Volume 11, Issue 12, pp. 1253 - 1260
Journal Article
by Zhang, Bai and Zhang, Hui and Zhang, Zhen and Zhang, Bing and Liu, Tao and Payne, Samuel H and McDermott, Jason E and Zhou, Jian-Ying and Petyuk, Vladislav A and Chen, Xian and Chen, Li and Chen, Lijun and Ray, Debjit and Sun, Shisheng and Yang, Feng and Wang, Yue and Wang, Pei and Wang, Jing and Shah, Punit and Cha, Seong Won and Aiyetan, Paul and Woo, Sunghee and Tian, Yuan and Gritsenko, Marina A and Clauss, Therese R and Choi, Caitlin and Monroe, Matthew E and Thomas, Stefani and Nie, Song and Wu, Chaochao and Moore, Ronald J and Yu, Kun-Hsing and Tabb, David L and Fenyö, David and Bafna, Vineet and Rodriguez, Henry and Boja, Emily S and Hiltke, Tara and Rivers, Robert C and Sokoll, Lori and Zhu, Heng and Shih, Ie-Ming and Cope, Leslie and Pandey, Akhilesh and Snyder, Michael P and Snyder, Michael and Levine, Douglas A and Smith, Richard D and Chan, Daniel W and Rodland, Karin D and Carr, Steven A and Gillette, Michael A and Klauser, Karl R and Kuhn, Eric and Mani, D.R and Mertins, Philipp and Ketchum, Karen A and Thangudu, Ratna and Cai, Shuang and Oberti, Mauricio and Paulovich, Amanda G and Whiteaker, Jeffrey R and Edwards, Nathan J and McGarvey, Peter B and Madhavan, Subha and Whiteley, Gordon A and Skates, Steven J and White, Forest M and Kinsinger, Christopher R and Mesri, Mehdi and Shaw, Kenna M and Stein, Stephen E and Fenyo, David and Rudnick, Paul and Zhao, Yingming and Ransohoff, David F and Hoofnagle, Andrew N and Liebler, Daniel C and Sanders, Melinda E and Shi, Zhiao and Slebos, Robbert J.C and Zimmerman, Lisa J and Davies, Sherri R and Ding, Li and Ellis, Matthew J.C and Townsend, R. Reid and CPTAC Investigators and Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)
Cell, ISSN 0092-8674, 07/2016, Volume 166, Issue 3, pp. 755 - 765
Journal Article
Nature Communications, ISSN 2041-1723, 12/2018, Volume 9, Issue 1, pp. 3882 - 15
Journal Article
Journal of Experimental Medicine, ISSN 0022-1007, 02/2013, Volume 210, Issue 2, pp. 389 - 399
Journal Article
Journal Article