Academic literature on the topic 'Affinity'

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Journal articles on the topic "Affinity"

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Brazil, Melanie. "High affinity good, lower affinity better." Nature Reviews Drug Discovery 1, no. 10 (October 2002): 746. http://dx.doi.org/10.1038/nrd923.

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Laing, Angus, Fiona Harris, and Aster Mekonnen. "Deconstructing Affinity Relationships: Consumers and Affinity Marketing." Journal of Customer Behaviour 3, no. 2 (July 1, 2004): 215–28. http://dx.doi.org/10.1362/1475392041829500.

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Fatiadi, Alexander J., and L. Anderson. "Affinity Chromatography and Metal Chelate Affinity Chromatography." Critical Reviews in Analytical Chemistry 18, no. 1 (1987): 1–44. http://dx.doi.org/10.1080/10408348708085562.

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Fatiadi, Alexander J., and L. Andersson. "Affinity Chromatography And Metal Chelate Affinity Chromatography." C R C Critical Reviews in Analytical Chemistry 18, no. 1 (January 1987): 1–44. http://dx.doi.org/10.1080/10408348708542800.

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Jones, Ken, Mark J. Berry, and Michael D. Scawen. "Affinity chromatography." Analytical Proceedings 28, no. 5 (1991): 140. http://dx.doi.org/10.1039/ap9912800140.

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Campos Calvo-Sotelo, Javier. "Sonic affinity." Psychology of Music 44, no. 1 (November 21, 2014): 95–113. http://dx.doi.org/10.1177/0305735614557855.

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Wickham‐Jones, C. Tom, Kent M. Ervin, G. Barney Ellison, and W. Carl Lineberger. "NH2electron affinity." Journal of Chemical Physics 91, no. 4 (August 15, 1989): 2762–63. http://dx.doi.org/10.1063/1.456994.

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Dawson, Michael. "Affinity Groups." Self & Society 17, no. 5 (January 1989): 28–29. http://dx.doi.org/10.1080/03060497.1989.11085012.

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McHugh, H. "Affinity Welled." Literary Imagination 2, no. 2 (January 1, 2000): 124. http://dx.doi.org/10.1093/litimag/2.2.124.

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Page, Joshua. "Manufacturing Affinity." Journal of Contemporary Ethnography 37, no. 6 (April 11, 2008): 745–77. http://dx.doi.org/10.1177/0891241607310731.

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Dissertations / Theses on the topic "Affinity"

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Crawl, Lester Daniel. "Affinity-directed mobility." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3219008.

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Smith, Matthew. "Implicit affinity networks /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1682.pdf.

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Smith, Matthew Scott. "Implicit Affinity Networks." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1112.

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Although they clearly exist, affinities among individuals are not all easily identified. Yet, they offer unique opportunities to discover new social networks, strengthen ties among individuals, and provide recommendations. We propose the idea of Implicit Affinity Networks (IANs) to build, visualize, and track affinities among groups of individuals. IANs are simple, interactive graphical representations that users may navigate to uncover interesting patterns. This thesis describes a system supporting the construction of IANs and evaluates it in the context of family history and online communities.
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Arnold, Lindsay G. "Engineering thermo-responsive affinity ligands for glycoprotein purification by affinity precipitation." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53493.

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Effective methods for isolation and purification of glycoproteins are of increasing significance to the rapidly growing biopharmaceutical and diagnostic industry. Glycoproteins represent the majority of therapeutic proteins on the market and are effectively used to treat immune disorders, infections, cancers, and other diseases. Targeting these glycoproteins is also critical to an emerging field of glycoproteomics aimed to understand structure-function relationships of glycans. Architecturally, these glycoproteins are proteins with covalently linked oligosaccharide chains of varying monosaccharide composition. Affinity chromatography has proven to be an excellent method of glycoprotein purification at the bench scale. However, chromatography in large scale production has its drawbacks. Column fowling, flowrate limitations, and diffusional constraints collectively hinder the effectiveness of the method. An alternative proposed in this dissertation is the use of affinity precipitation as a purification technique. The three main objectives are 1) develop and produce dual-functional, thermo-responsive affinity ligands from a biological host, 2) characterize and optimize the accompanying affinity precipitation method, and 3) apply the ligand and process to relevant, unmodified glycoproteins. The design of the thermo-responsive affinity construct was comprised of two main functional domains. The binding capability was achieved by selection of small ligands with affinity to a specific monosaccharide moiety. Two different lectins, or sugar binding proteins, were used in the fusion design: a fucose binding lectin from Ralstonia solanacearum, and a sialic acid binding lectin from Vibrio cholera. The thermo-responsive functionality was obtained by use of an elastin-like peptide (ELP), which confers inverse solubility relationship properties to the fusion construct. A small library of varying ELP chain lengths were designed to find the optimal size fusion for both production and function. These dual functional ligands were cloned and expressed in the microbial host, E. coli. Furthermore, secretion of these constructs was achieved by employing the Tat secretion pathway in combination with an outer membrane lipoprotein deletion mutant with a leaky periplasm phenotype. This secretory mechanism allows for easy isolation, avoidance of inclusion bodies, and no additional protease inhibitors. After successful production, the ligands were tested to confirm that dual functionality was preserved in fusion form. Once binding conditions and precipitation properties were ascertained, the purification ability was tested on model glycoproteins. Experimentation was carried out monitoring the purification yield, purity, and retained activity of the target enzymes. High contaminant solutions, such as cell lysates, were spiked with the model glycoproteins to mimic crude protein solutions. The purification ability of the constructs in these models was observed. The method was then implemented on two relevant glycoprotein applications: 1) purification of soybean peroxidase from a crude protein extract and 2) targeting the therapeutic protein erythropoietin from albumin rich, used CHO cell media. By implementation of the fucose targeting fusion construct, the unmodified soybean peroxidase is isolated from a natural crude extract from the soybean hull, a by-product of the soybean industry. The affinity precipitation method parameters were optimized with respect to ratios, temperatures, recycle, and elution buffers to achieve successful isolation of the low abundance enzyme. Under the optimized conditions, >95% recovery yield and a purification of 22.7 fold of an active, pure product was attainable. The purification of erythropoietin led to additional experimentation with high-abundant glycoprotein solutions, as well as expansion of the affinity ligand platform. The concept of multi-lectin affinity precipitation, using the fucose and sialic acid binding lection sequentially, was introduced and tested for purification capability. An industrially relevant scheme involving isolation of the erythropoietin from used CHO cell media allowed for an achievable yield of about 60%, with a resulting albumin depletion of about 85%. In addition to development of a pair of novel thermo-responsive affinity ligands for glycoprotein purification, this dissertation provides insight on possible improvements and future directions with respect to the thermo-responsive affinity ligand platform. This unique concept employs novel lectin fusions to target valuable glycoproteins using a method avoiding the major drawbacks associated with chromatography.
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Campbell, Alyson Ann. "Affinity precipitation of proteases." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/721.

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Low, Nigel Murray. "Mimicking antibody affinity maturation." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364567.

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Zourna, Kalliopi. "Smart magnetic affinity adsorbents." Thesis, University of Birmingham, 2009. http://etheses.bham.ac.uk//id/eprint/511/.

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As the focus of research on ‘adaptive/responsive’ surfaces has in recent years contributed strongly towards the design of surface materials with ‘intelligent’ or ‘smart’ behaviour, current superparamagnetic adsorbents being employed both in small and large scale operations can be surface modified and improved by gaining dual functionalities. In this work, modification of M-PVA supports with polymer brushes of dual properties has been explored for their intended use in bioseparation technology, i.e. for both selectively protein binding and enhanced temperature elution of especially difficult to elute species such as haemoglobin. Tethering of polymer brushes was achieved by employing two different ‘grafting from’ routes, i.e. cerium (IV) initiated polymerisation and Atom Transfer Polymerisation Reaction (ATRP). By identifying the optimum cerium (IV) reaction conditions, the said chemistry was further utilised to attach different polymers (thermoresponsive and affinity ligands) and their combination (thermo-affinity) at fixed positions onto M-PVA supports, either as di-block or mixed functionality polymer brushes. The configuration of introduced polymer chains as well as the haemoglobin binding characteristics of the above materials was evaluated, and their efficiency for haemoglobin and GFP desorption via sequential temperature transitions was demonstrated. Mixed polymer brushes manufactured using sequential ATRP after partial bromination of AGE activated magnetic supports were characterised and tested likewise. Protein binding and release efficiency was dependent on brush configuration (length and spacing between the graft sites of polymers), pNIPAAm content, type of affinity ligand and type of protein employed. From the above materials those with polymer chains of sufficient pNIPAAm length and at such spacing allowing their ‘free’ expansion/collapse upon temperature change (especially those grafted via cerium (IV) route) were found efficient, as brush behaviour favour enhanced desorption of difficult to elute species.
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Deshpande, S. "Functionalised macroporous affinity matrices." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2007. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2584.

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Shookhoff, Alexandra. "Affinity groups commonality in diversity /." Diss., Connect to the thesis, 2006. http://hdl.handle.net/10066/606.

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Horstmann, Brenda Joan. "Affinity adsorption on agarose matrices." Thesis, University of Cambridge, 1989. https://www.repository.cam.ac.uk/handle/1810/250951.

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Books on the topic "Affinity"

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Waters, Sarah. Affinity. London: Virago, 1999.

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Williamson, J. N. Affinity. New York City: Leisure Books, 2001.

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Waters, Sarah. Affinity. New York: Riverhead Books, 2000.

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Viktorovich, Vlasov Valentin, ed. Affinity modification of biopolymers. Boca Raton, Fla: CRC Press, 1989.

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Rogers, Kim, and Ashok Mulchandani. Affinity Biosensors. New Jersey: Humana Press, 1998. http://dx.doi.org/10.1385/0896035395.

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Bailon, Pascal, George K. Ehrlich, Wen-Jian Fung, and Wolfgang Berthold. Affinity Chromatography. New Jersey: Humana Press, 2000. http://dx.doi.org/10.1385/1592590411.

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Wrotnowski, Cort. Affinity technology. Norwalk, CT: Business Communications Co., 1991.

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Ayyar, B. Vijayalakshmi, and Sushrut Arora, eds. Affinity Chromatography. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2176-9.

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Reichelt, Senta, ed. Affinity Chromatography. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2447-9.

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Zachariou, Michael, ed. Affinity Chromatography. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-582-4.

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Book chapters on the topic "Affinity"

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Scherrmann, Jean-Michel, Kim Wolff, Christine A. Franco, Marc N. Potenza, Tayfun Uzbay, Lisiane Bizarro, David C. S. Roberts, et al. "Affinity." In Encyclopedia of Psychopharmacology, 36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_791.

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Gooch, Jan W. "Affinity." In Encyclopedic Dictionary of Polymers, 22. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_308.

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Gee, James Paul. "Affinity." In What Is a Human?, 229–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50382-6_24.

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Weik, Martin H. "affinity." In Computer Science and Communications Dictionary, 33. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_412.

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Holmqvist, Mikael. "Affinity." In Elite Business Schools, 83–98. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003218128-6.

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Lauth, Jakob SciFox. "Affinity." In Physical Chemistry in a Nutshell, 53–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67637-0_4.

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Roque, Ana Cecília A., and Christopher R. Lowe. "Affinity Chromatography." In Affinity Chromatography, 1–23. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-582-4_1.

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Charlton, Adam, and Michael Zachariou. "Immobilized Metal Ion Affinity Chromatography of Histidine-Tagged Fusion Proteins." In Affinity Chromatography, 137–50. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-582-4_10.

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Godat, Becky, Laurie Engel, Natalie A. Betz, and Tonny M. Johnson. "Methods for the Purification of HQ-Tagged Proteins." In Affinity Chromatography, 151–68. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-582-4_11.

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Pattenden, Leonard K., and Walter G. Thomas. "Amylose Affinity Chromatography of Maltose-Binding Protein." In Affinity Chromatography, 169–90. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-582-4_12.

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Conference papers on the topic "Affinity"

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"PREDICTING THE ARRIVAL OF EMERGENT PATIENT BY AFFINITY SET." In Computational Intelligence using Affinity Set. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001723402730277.

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"MULTIVARIATE TECHNIQUE FOR CLASSIFICATION RULE SEARCHING - Exemplieied by CT Data of Patient." In Computational Intelligence using Affinity Set. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001723702780286.

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"CREDIT SCORING MODEL BASED ON THE AFFINITY SET." In Computational Intelligence using Affinity Set. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001723902870290.

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Subramonyam, Hariharan, Steven M. Drucker, and Eytan Adar. "Affinity Lens." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300628.

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Liu, Y., B. Zhang, Z. Chen, M. R. Lyu, and W. Ma. "Affinity rank." In the 13th international World Wide Web conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1013367.1013464.

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Sedhain, Suvash, Scott Sanner, Lexing Xie, Riley Kidd, Khoi-Nguyen Tran, and Peter Christen. "Social affinity filtering." In the first ACM conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2512938.2512947.

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Arzeno, Natalia M., and Haris Vikalo. "Evolutionary affinity propagation." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952643.

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Spivack, Simon D. "MicroRNA Affinity Assay." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a2298.

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Li, Hui, Sourav S. Bhowmick, and Aixin Sun. "Blog cascade affinity." In Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646095.

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Pierce, Robert. "Leveraging technology affinity." In the 23rd annual international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1085313.1085343.

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Reports on the topic "Affinity"

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Slad, George William, and Bion J. Merchant. Guralp Affinity Digitizer Evaluation. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1605649.

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Merchant, Bion J. 2017 Guralp Affinity Digitizer Evaluation. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1425328.

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Yoo, Andy, Geoffrey Sanders, Van Henson, and Panayot Vassilevski. A Novel Vertex Affinity for Community Detection. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1226940.

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Slad, George William. Guralp Affinity Evaluation for SNL Infrasound Testbed. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1564039.

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Yang, KyoungLang, and Gunda I. Georg. Synthesis of Cryptophycin Affinity Labels and Tubulin Labeling. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada443679.

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Peters, T., B. Bill Wilmarth, and S. Samuel Fink. SODIUM ALUMINOSILICATE SOLIDS AFFINITY FOR CESIUM AND ACTINIDES. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/914557.

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Yang, Kyounglang, and AGunda I. Georg. Synthesis of Cryptophycin Affinity Labels and Tubulin Labeling. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada432471.

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Slad, George, and B. John Merchant. Next Generation Qualification: Guralp Systems Affinity Digitizer Evaluation. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1466497.

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Ramadas, Vidya. Synthesis of Cryptophycin Affinity Labels and Tubulin Labeling. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416994.

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Gundersen, Cameron B. Expression Cloning of the High Affinity Choline Transporter. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada266773.

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