Author
Miguel A. Andrade
Other affiliations: Complutense University of Madrid, European Bioinformatics Institute, Max Delbrück Center for Molecular Medicine ...read more
Bio: Miguel A. Andrade is an academic researcher from Ontario Genomics Institute. The author has contributed to research in topics: Genome & Receptive field. The author has an hindex of 32, co-authored 59 publications receiving 7976 citations. Previous affiliations of Miguel A. Andrade include Complutense University of Madrid & European Bioinformatics Institute.
Topics: Genome, Receptive field, Hebbian theory, MEDLINE, Scientific literature
Papers published on a yearly basis
Papers
More filters
TL;DR: The unique metabolic profile of cancer (aerobic glycolysis) might confer apoptosis resistance and be therapeutically targeted and the orally available DCA is a promising selective anticancer agent.
1,452 citations
TL;DR: An optimized self-organizing map algorithm has been used to obtain protein topological (proteinotopic) maps and analysis of the proteinotopic map reveals that the network extracts the main secondary structure features even with the small number of examples used.
Abstract: An optimized self-organizing map algorithm has been used to obtain protein topological (proteinotopic) maps. A neural network is able to arrange a set of proteins depending on their ultraviolet circular dichroism spectra in a completely unsupervised learning process. Analysis of the proteinotopic map reveals that the network extracts the main secondary structure features even with the small number of examples used. Some methods to use the proteinotopic map for protein secondary structure prediction are tested showing a good performance in the 200-240 nm wavelength range that is likely to increase as new protein structures are known.
1,010 citations
614 citations
TL;DR: This review considers the conundrum of how multiple repeats, which show strong structural and functional interdependencies, ever evolved from a single repeat ancestor and refers to six prolific repeat types and in other less-prolific but nonetheless interesting repeats.
591 citations
TL;DR: The results illustrate that ARM and HEAT-repeat proteins, while having a common phylogenetic origin, have since diverged significantly and discuss evolutionary scenarios that could account for the great diversity of repeats observed.
509 citations
Cited by
More filters
TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Abstract: Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
35,225 citations
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
22,269 citations
TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
14,635 citations
TL;DR: It is proposed that bivalent domains silence developmental genes in ES cells while keeping them poised for activation, highlighting the importance of DNA sequence in defining the initial epigenetic landscape and suggesting a novel chromatin-based mechanism for maintaining pluripotency.
5,131 citations
01 Aug 2000
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
Abstract: BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.
4,833 citations