Biomedical subjects

Alexander Yeh

Publications and source records attributed to Alexander Yeh.

5 recordsLinked to original sources

PubMed2006

Direct and indirect roles of cytochrome b in the mediation of superoxide generation and NO catabolism by mitochondrial succinate-cytochrome c reductase.

Mitochondrial superoxide (O2*-) production is an important mediator of oxidative cellular injury. Succinate-cytochrome c reductase (SCR) of the electron transport chain has been implicated as an essential part of the mediation of O2*- generation and an alternative target of nitric oxide (NO) in the regulation of mitochondrial respiration. The Q cycle mechanism plays a central role in controlling both events. In the present work, O2*- generation by SCR was measured with the EPR spin-trapping technique using DEPMPO (5-diethoxylphosphoryl-5-methyl-1-pyrroline N-oxide) as the spin trap. In the presence of succinate, O2*- generation from SCR was detected as the spin adduct DEPMPO/*OOH. Inhibitors of the Q(o*-) site only marginally reduced (20-30%) this O2*- production, suggesting a secondary role of Q(o*-) in the mediation of O2*- generation. Addition of cyanide significantly decreased (approximately 70%) O2*- production, indicating the involvement of the heme component. UV-visible spectral analysis revealed that oxidation of ferrocytochrome b was accompanied by cytochrome c(1) reduction, and the reaction was mediated by the formation of an O2*- intermediate, indicating a direct role for cytochrome b in O2*- generation. In the presence of NO, DEPMPO/*OOH production was progressively diminished, implying that NO interacted with SCR or trapped the O2*-. The consumption of NO by SCR was investigated by electrochemical detection using an NO electrode. In the presence of succinate, SCR-mediated NO consumption was observed and inhibited by the addition of superoxide dismutase, suggesting the involvement of O2*-. Under the conditions of argon saturation, the NO consumption rate was not enhanced by succinate, suggesting a direct role for O2*- in the mediation of NO consumption. In the presence of succinate, oxidation of the ferrocytochrome b moiety of SCR was accelerated by the addition of NO, and was inhibited by argon saturation, indicating an indirect role for cytochrome b in the mediation of NO consumption.

Animals↗

PubMed2005

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PubMed2005

Overview of BioCreAtIvE: critical assessment of information extraction for biology.

BACKGROUND: The goal of the first BioCreAtIvE challenge (Critical Assessment of Information Extraction in Biology) was to provide a set of common evaluation tasks to assess the state of the art for text mining applied to biological problems. The results were presented in a workshop held in Granada, Spain March 28-31, 2004. The articles collected in this BMC Bioinformatics supplement entitled "A critical assessment of text mining methods in molecular biology" describe the BioCreAtIvE tasks, systems, results and their independent evaluation. RESULTS: BioCreAtIvE focused on two tasks. The first dealt with extraction of gene or protein names from text, and their mapping into standardized gene identifiers for three model organism databases (fly, mouse, yeast). The second task addressed issues of functional annotation, requiring systems to identify specific text passages that supported Gene Ontology annotations for specific proteins, given full text articles. CONCLUSION: The first BioCreAtIvE assessment achieved a high level of international participation (27 groups from 10 countries). The assessment provided state-of-the-art performance results for a basic task (gene name finding and normalization), where the best systems achieved a balanced 80% precision / recall or better, which potentially makes them suitable for real applications in biology. The results for the advanced task (functional annotation from free text) were significantly lower, demonstrating the current limitations of text-mining approaches where knowledge extrapolation and interpretation are required. In addition, an important contribution of BioCreAtIvE has been the creation and release of training and test data sets for both tasks. There are 22 articles in this special issue, including six that provide analyses of results or data quality for the data sets, including a novel inter-annotator consistency assessment for the test set used in task 2.

Computational Biology↗

PubMed2005

Overview of BioCreAtIvE task 1B: normalized gene lists.

BACKGROUND: Our goal in BioCreAtIve has been to assess the state of the art in text mining, with emphasis on applications that reflect real biological applications, e.g., the curation process for model organism databases. This paper summarizes the BioCreAtIvE task 1B, the "Normalized Gene List" task, which was inspired by the gene list supplied for each curated paper in a model organism database. The task was to produce the correct list of unique gene identifiers for the genes and gene products mentioned in sets of abstracts from three model organisms (Yeast, Fly, and Mouse). RESULTS: Eight groups fielded systems for three data sets (Yeast, Fly, and Mouse). For Yeast, the top scoring system (out of 15) achieved 0.92 F-measure (harmonic mean of precision and recall); for Mouse and Fly, the task was more difficult, due to larger numbers of genes, more ambiguity in the gene naming conventions (particularly for Fly), and complex gene names (for Mouse). For Fly, the top F-measure was 0.82 out of 11 systems and for Mouse, it was 0.79 out of 16 systems. CONCLUSION: This assessment demonstrates that multiple groups were able to perform a real biological task across a range of organisms. The performance was dependent on the organism, and specifically on the naming conventions associated with each organism. These results hold out promise that the technology can provide partial automation of the curation process in the near future.

Animals↗

PubMed2005

BioCreAtIvE task 1A: gene mention finding evaluation.

BACKGROUND: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on a particular topic. There has been an increasing amount of work on text mining this literature, but comparing this work is hard because of a lack of standards for making comparisons. To address this, we worked with colleagues at the Protein Design Group, CNB-CSIC, Madrid to develop BioCreAtIvE (Critical Assessment for Information Extraction in Biology), an open common evaluation of systems on a number of biological text mining tasks. We report here on task 1A, which deals with finding mentions of genes and related entities in text. "Finding mentions" is a basic task, which can be used as a building block for other text mining tasks. The task makes use of data and evaluation software provided by the (US) National Center for Biotechnology Information (NCBI). RESULTS: 15 teams took part in task 1A. A number of teams achieved scores over 80% F-measure (balanced precision and recall). The teams that tried to use their task 1A systems to help on other BioCreAtIvE tasks reported mixed results. CONCLUSION: The 80% plus F-measure results are good, but still somewhat lag the best scores achieved in some other domains such as newswire, due in part to the complexity and length of gene names, compared to person or organization names in newswire.

Computational Biology↗