Reprogramming Modernism: From Industrial to Digital

The advent of digital not only fosters new possibilities in creation but also in conservation. Architectural preservation evoked in the Modern period, when mimicry, a standard method of creation was paused and the intention to preserve past notations of architecture awakened. Now, what is the future of Modernism in the Digital archive?Digital Modern manifests the revival of this objective with actual tools. Digital proposes a new approach to history and the treatment of the past by keeping all records recallable to the present. Cloud computing proposes timeless history, where previous memory stored in algorithms is available at the level of representation. This essay shows how Modern architectural notations are explicitly inherited by the Computational era and introduce the correlation between typology and digital patterns. The period influenced by the industrial revolution and universal solutions prepared the platform for the current era influenced by the digital revolution.To understand the relationship between the two dominant epochs, this essay relies on the notions of mimicry, rules, models and methods as modes of repetition and creation crosslinked with different stages of technological development in history. This will lead to the understanding how virtual copies create a new chapter in mimesis and provokes a new chronological approach. The research methodology does not follow a linear timeline but builds on simultaneous perspectives of the Digital Modern phenomenon

Computable and incomputable patterns : the dialectics of urban form and urban life in Keszthely, Hungary

Urban morphology formed over the years is challenged by current social needs. City scale resilience is not only the question of the present, but it should also operate between the given boundaries of the past. The tensions between the static physical built environment and the dynamic flux of users called for the research of the dialectics of urban form and urban life. This paper will inspect the Hungarian city, Keszthely by the method of space syntax in line with questionaries. The twofold methodology shows meaningful correlations of the changing measurable and intangible urban patterns. The mental map of the users and the structural analysis of the street network do not necessarily overlap, differences may indicate points of intervention

Monoclonal antibody proteomics: Use of antibody mimotope displaying phages and the relevant synthetic peptides for mAb scouting

Monoclonal antibody proteomics uses nascent libraries or cloned (Plasmascan™, QuantiPlasma™) libraries of mAbs that react with individual epitopes of proteins in the human plasma. At the initial phase of library creation, cognate protein antigen and the epitope interacting with the antibodies are not known. Scouting for monoclonal antibodies (mAbs) with the best binding characteristics is of high importance for mAb based biomarker assay development. However, in the absence of the identity of the cognate antigen the task represents a challenge. We combined phage display, and surface plasmon resonance (Biacore) experiments to test whether specific phages and the respective mimotope peptides obtained from large scale studies are applicable to determine key features of antibodies for scouting. We show here that mAb captured phage-mimotope heterogeneity that is the diversity of the selected peptide sequences, is inversely correlated with an important binding descriptor; the off-rate of the antibodies and that represents clues for driving the selection of useful mAbs for biomarker assay development. Carefully chosen synthetic mimotope peptides are suitable for specificity testing in competitive assays using the target proteome, in our case the human plasma. © 2014 Elsevier B.V. All rights reserved

Monoclonal antibody proteomics: use of antibody mimotope displaying phages and the relevant synthetic peptides for mAb scouting

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Monoclonal antibody proteomics: use of antibody mimotope displaying phages and the relevant synthetic peptides for mAb scouting.

Monoclonal antibody proteomics uses nascent libraries or cloned (Plasmascan™, QuantiPlasma™) libraries of mAbs that react with individual epitopes of proteins in the human plasma. At the initial phase of library creation, cognate protein antigen and the epitope interacting with the antibodies are not known. Scouting for monoclonal antibodies (mAbs) with the best binding characteristics is of high importance for mAb based biomarker assay development. However, in the absence of the identity of the cognate antigen the task represents a challenge. We combined phage display, and surface plasmon resonance (Biacore) experiments to test whether specific phages and the respective mimotope peptides obtained from large scale studies are applicable to determine key features of antibodies for scouting. We show here that mAb captured phage-mimotope heterogeneity that is the diversity of the selected peptide sequences, is inversely correlated with an important binding descriptor; the off-rate of the antibodies and that represents clues for driving the selection of useful mAbs for biomarker assay development. Carefully chosen synthetic mimotope peptides are suitable for specificity testing in competitive assays using the target proteome, in our case the human plasma

Combination of 2D/3D Ligand-Based Similarity Search in Rapid Virtual Screening from Multimillion Compound Repositories. Selection and Biological Evaluation of Potential PDE4 and PDE5 Inhibitors

Rapid in silico selection of target focused libraries from commercial repositories is an attractive and cost effective approach. If structures of active compounds are available rapid 2D similarity search can be performed on multimillion compound databases but the generated library requires further focusing by various 2D/3D chemoinformatics tools. We report here a combination of the 2D approach with a ligand-based 3D method (Screen3D) which applies flexible matching to align reference and target compounds in a dynamic manner and thus to assess their structural and conformational similarity. In the first case study we compared the 2D and 3D similarity scores on an existing dataset derived from the biological evaluation of a PDE5 focused library. Based on the obtained similarity metrices a fusion score was proposed. The fusion score was applied to refine the 2D similarity search in a second case study where we aimed at selecting and evaluating a PDE4B focused library. The application of this fused 2D/3D similarity measure led to an increase of the hit rate from 8.5% (1st round, 47% inhibition at 10 µM) to 28.5% (2nd round at 50% inhibition at 10 µM) and the best two hits had 53 nM inhibitory activities