WordNet
- relating to simple or elementary organization; "proceed by more and more detailed analysis to the molecular facts of perception"--G.A. Miller
- relating to or produced by or consisting of molecules; "molecular structure"; "molecular oxygen"; "molecular weight is the sum of all the atoms in a molecule"
- characteristic life processes and phenomena of living organisms; "the biology of viruses"
- the science that studies living organisms (同)biological_science
- of or involving computation or computers; "computational linguistics"
PrepTutorEJDIC
- 分子の,分子による
- 『生物学』
- 計算;〈C〉(その結果出た)算定額
UpToDate Contents
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- 1. 分子遺伝学の原理 principles of molecular genetics
- 2. 慢性骨髄性白血病の分子遺伝学 molecular genetics of chronic myeloid leukemia
- 3. 大腸癌の分子遺伝学 molecular genetics of colorectal cancer
- 4. ユーイング肉腫ファミリーの腫瘍の疫学、病理、および分子遺伝学 epidemiology pathology and molecular genetics of the ewing sarcoma family of tumors
- 5. 膵外分泌癌の分子学的病因 molecular pathogenesis of exocrine pancreatic cancer
English Journal
- Thousand-fold fluorescent signal amplification for mHealth diagnostics.
- Balsam J, Rasooly R, Bruck HA, Rasooly A.Author information Division of Biology, Office of Science and Engineering, FDA, Silver Spring, MD 20993, United States; University of Maryland, College Park, MD 20742, United States.AbstractThe low sensitivity of Mobile Health (mHealth) optical detectors, such as those found on mobile phones, is a limiting factor for many mHealth clinical applications. To improve sensitivity, we have combined two approaches for optical signal amplification: (1) a computational approach based on an image stacking algorithm to decrease the image noise and enhance weak signals, and (2) an optical signal amplifier utilizing a capillary tube array. These approaches were used in a detection system which includes multi-wavelength LEDs capable of exciting many fluorophores in multiple wavelengths, a mobile phone or a webcam as a detector, and capillary tube array configured with 36 capillary tubes for signal enhancement. The capillary array enables a ~100× increase in signal sensitivity for fluorescein, reducing the limit of detection (LOD) for mobile phones and webcams from 1000 nM to 10nM. Computational image stacking enables another ~10× increase in signal sensitivity, further reducing the LOD for webcam from 10nM to 1 nM. To demonstrate the feasibility of the device for the detection of disease-related biomarkers, adenovirus DNA labeled with SYBR green or fluorescein was analyzed by both our capillary array and a commercial plate reader. The LOD for the capillary array was 5 ug/mL, and that of the plate reader was 1 ug/mL. Similar results were obtained using DNA stained with fluorescein. The combination of the two signal amplification approaches enables a ~1000× increase in LOD for the webcam platform. This brings it into the range of a conventional plate reader while using a smaller sample volume (10 ul) than the plate reader requires (100 ul). This suggests that such a device could be suitable for biosensing applications where up to 10 fold smaller sample sizes are needed. The simple optical configuration for mHealth described in this paper employing the combined capillary and image processing signal amplification is capable of measuring weak fluorescent signals without the need of dedicated laboratories. It has the potential to be used to increase sensitivity of other optically based mHealth technologies, and may increase mHealth's clinical utility, especially for telemedicine and for resource-poor settings and global health applications.
- Biosensors & bioelectronics.Biosens Bioelectron.2014 Jan 15;51:1-7. doi: 10.1016/j.bios.2013.06.053. Epub 2013 Jul 17.
- The low sensitivity of Mobile Health (mHealth) optical detectors, such as those found on mobile phones, is a limiting factor for many mHealth clinical applications. To improve sensitivity, we have combined two approaches for optical signal amplification: (1) a computational approach based on an imag
- PMID 23928092
- On assessing model fit for distribution-free longitudinal models under missing data.
- Wu P, Tu XM, Kowalski J.Author information Department of Biostatistics and Computational Biology, Rochester, NY, 14623, U.S.A.AbstractThe generalized estimating equation (GEE), a distribution-free, or semi-parametric, approach for modeling longitudinal data, is used in a wide range of behavioral, psychotherapy, pharmaceutical drug safety, and healthcare-related research studies. Most popular methods for assessing model fit are based on the likelihood function for parametric models, rendering them inappropriate for distribution-free GEE. One rare exception is a score statistic initially proposed by Tsiatis for logistic regression (1980) and later extended by Barnhart and Willamson to GEE (1998). Because GEE only provides valid inference under the missing completely at random assumption and missing values arising in most longitudinal studies do not follow such a restricted mechanism, this GEE-based score test has very limited applications in practice. We propose extensions of this goodness-of-fit test to address missing data under the missing at random assumption, a more realistic model that applies to most studies in practice. We examine the performance of the proposed tests using simulated data and demonstrate the utilities of such tests with data from a real study on geriatric depression and associated medical comorbidities. Copyright © 2013 John Wiley & Sons, Ltd.
- Statistics in medicine.Stat Med.2014 Jan 15;33(1):143-57. doi: 10.1002/sim.5908. Epub 2013 Jul 30.
- The generalized estimating equation (GEE), a distribution-free, or semi-parametric, approach for modeling longitudinal data, is used in a wide range of behavioral, psychotherapy, pharmaceutical drug safety, and healthcare-related research studies. Most popular methods for assessing model fit are bas
- PMID 23897653
- Mathematical modeling of g protein-coupled receptor function: what can we learn from empirical and mechanistic models?
- Roche D, Gil D, Giraldo J.Author information Laboratory of Systems Pharmacology and Bioinformatics, Institut de Neurociències and Unitat de Bioestadística, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.AbstractEmpirical and mechanistic models differ in their approaches to the analysis of pharmacological effect. Whereas the parameters of the former are not physical constants those of the latter embody the nature, often complex, of biology. Empirical models are exclusively used for curve fitting, merely to characterize the shape of the E/[A] curves. Mechanistic models, on the contrary, enable the examination of mechanistic hypotheses by parameter simulation. Regretfully, the many parameters that mechanistic models may include can represent a great difficulty for curve fitting, representing, thus, a challenge for computational method development. In the present study some empirical and mechanistic models are shown and the connections, which may appear in a number of cases between them, are analyzed from the curves they yield. It may be concluded that systematic and careful curve shape analysis can be extremely useful for the understanding of receptor function, ligand classification and drug discovery, thus providing a common language for the communication between pharmacologists and medicinal chemists.
- Advances in experimental medicine and biology.Adv Exp Med Biol.2014;796:159-81. doi: 10.1007/978-94-007-7423-0_8.
- Empirical and mechanistic models differ in their approaches to the analysis of pharmacological effect. Whereas the parameters of the former are not physical constants those of the latter embody the nature, often complex, of biology. Empirical models are exclusively used for curve fitting, merely to
- PMID 24158805
Japanese Journal
- Applicability domain of active learning in chemical probe identification: Convergence in learning from non-specific compounds and decision rule clarification
- Polash Ahsan Habib,Nakano Takumi,Takeda Shunichi,Brown J. B.
- Molecules 24(15), 2019-08-01
- … Computational means to optimize candidate compound selection for experimental selectivity evaluation are being sought. … this data volume is consistent with prior chemogenomic active learning studies despite the increased difficulty from chemical biology experimental settings used here. … The results influence tactical decisions for computational probe design and discovery. …
- NAID 120006712779
- Noise-resistant developmental reproducibility in vertebrate somite formation
- Honda Naoki,Akiyama Ryutaro,Sari Dini Wahyu Kartika,Ishii Shin,Bessho Yasumasa,Matsui Takaaki
- 2019-02-04
- … The reproducibility of embryonic development is remarkable, although molecular processes are intrinsically stochastic at the single-cell level. … How the multicellular system resists the inevitable noise to acquire developmental reproducibility constitutes a fundamental question in developmental biology. …
- NAID 120006555359
- Noise-resistant developmental reproducibility in vertebrate somite formation
- Honda Naoki,Akiyama Ryutaro,Sari Dini Wahyu Kartika,Ishii Shin,Bessho Yasumasa,Matsui Takaaki
- PLOS Computational
- いいかげんに働く細胞たちが協調してからだを作る仕組みを解明 --リズムを刻む体内時計によるノイズキャンセル機構--. 京都大学プレスリリース. 2019-02-06.
- NAID 120006553009
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★リンクテーブル★
| リンク元 | 「分子計算生物学」 |
| 関連記事 | 「molecular」「biology」「molecular biology」「computation」「computational」 |
「分子計算生物学」
「molecular」
- adj.
- 分子の、分子的な
「biology」
「molecular biology」
- 関
- See also Recombinant DNA／recombinant DNA technology
- 同
- 分子生物学
「computation」
「computational」
- 計算的な