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Books on the topic 'Computational protein design'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Samish, Ilan, ed. Computational Protein Design. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6637-0.

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2

Torsten, Schwede, and Peitsch Manuel C, eds. Computational structural biology: Methods and applications. Hackensack, N.J: World Scientific, 2008.

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3

Hans-Joachim, Böhm, and Schneider Gisbert 1965-, eds. Protein-ligand interactions from molecular recognition to drug design. Weinheim: Wiley-VCH, 2003.

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4

Moreira, Irina S., Miguel Machuqueiro, and Joana Mourão, eds. Computational Design of Membrane Proteins. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1468-6.

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5

Stoddard, Barry L., ed. Computational Design of Ligand Binding Proteins. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3569-7.

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6

Mather A. R. Sadiq Al-Baghdadi. CFD models for analysis and design of PEM fuel cells CFD models for analysis & design of PEM fuel cells. New York: Nova Science Publishers, 2008.

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7

Maher A. R. Sadiq Al-Baghdadi. CFD modeling and analysis of different novel designs of air-breathing PEM fuel cells. Hauppauge, N.Y: Nova Science Publishers, 2009.

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8

Maher A. R. Sadiq Al-Baghdadi. CFD modeling and analysis of different novel designs of air-breathing PEM fuel cells. New York: Nova Science Publishers, 2010.

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9

Harren, Jhoti, and Leach Andrew R, eds. Structure-based drug discovery. Dordrecht: Springer, 2007.

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10

Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Amsterdam: Elsevier, 1996.

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11

Samish, Ilan. Computational Protein Design. Springer New York, 2016.

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12

Samish, Ilan. Computational Protein Design. Springer New York, 2018.

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13

Computational Design of Membrane Proteins. Springer, 2021.

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14

Moreira, Irina S., Miguel Machuqueiro, and Joana Mourão. Computational Design of Membrane Proteins. Springer, 2022.

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15

Stoddard, Barry L. Computational Design of Ligand Binding Proteins. Springer New York, 2016.

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16

Computational Design of Ligand Binding Proteins. Humana, 2018.

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17

(Editor), I. Schlichting, and U. Egner (Editor), eds. Data Mining in Structural Biology: Signal Transduction and Beyond (Ernst Schering Research Foundation Workshop). Springer, 2001.

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18

Bioinformatics and drug discovery. New York: Humana Press, 2012.

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19

Narlikar, A. V., and Y. Y. Fu, eds. Oxford Handbook of Nanoscience and Technology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533060.001.0001.

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This volume highlights engineering and related developments in the field of nanoscience and technology, with a focus on frontal application areas like silicon nanotechnologies, spintronics, quantum dots, carbon nanotubes, and protein-based devices as well as various biomolecular, clinical and medical applications. Topics include: the role of computational sciences in Si nanotechnologies and devices; few-electron quantum-dot spintronics; spintronics with metallic nanowires; Si/SiGe heterostructures in nanoelectronics; nanoionics and its device applications; and molecular electronics based on self-assembled monolayers. The volume also explores the self-assembly strategy of nanomanufacturing of hybrid devices; templated carbon nanotubes and the use of their cavities for nanomaterial synthesis; nanocatalysis; bifunctional nanomaterials for the imaging and treatment of cancer; protein-based nanodevices; bioconjugated quantum dots for tumor molecular imaging and profiling; modulation design of plasmonics for diagnostic and drug screening; theory of hydrogen storage in nanoscale materials; nanolithography using molecular films and processing; and laser applications in nanotechnology. The volume concludes with an analysis of the various risks that arise when using nanomaterials.

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20

D'Errico, Mike. Push. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190943301.001.0001.

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This book shows how changes in music software design in the first decades of the twenty-first century shaped the production techniques and performance practices of artists across media, from hip-hop and electronic dance music to video games and mobile apps. Emerging alongside developments in digital music distribution such as peer-to-peer file sharing and the MP3 format, digital audio workstations (DAWs) such as FL Studio and Ableton’s Live encouraged rapid music-creation workflows through flashy, user-friendly interfaces. Meanwhile, software such as Avid’s Pro Tools attempted to protect its status as the industry-standard “professional” DAW by incorporating design elements from predigital technologies. Other software, such as Cycling ’74’s Max, asserted its alterity to “commercial” DAWs by offering users just a blank screen. The book examines the social, cultural, and political values designed into music software and how those become embodied by musical communities through production and performance. It reveals ties between maximalist design in FL Studio, skeuomorphic design in Pro Tools, and gender inequity in the music products industry. It connects the computational thinking required by Max and iZotope’s innovations in artificial intelligence with the cultural politics of Silicon Valley’s “design thinking.” Finally, it examines what happens when software becomes hardware and users externalize their screens using musical instrument digital interface (MIDI) controllers, mobile media, and video-game controllers. Amid the perpetual upgrade culture of music technology, Push the book provides a model for understanding software as a microcosm for the increasing convergence of globalization, neoliberal capitalism, and techno-utopianism that has come to define our digital lives.

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21

Anderson, James A. Software. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0004.

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Digital computers are “protean” in that they can become almost anything through software. Their basic design elements came from a 19th-century British tradition in logic, exemplified by Boole and Babbage. It seemed natural to have logic realized in hardware. This tradition culminated in the work of Alan Turing who proposed a universal computing machine, now called a Turing machine, based on logic. Although hardware that computes logic functions lies at the core of digital hardware, low-level practical machine operations are grouped together in “words.” Programs are based on hardware operations controlling computation at the word level. This chapter presents a detailed example of what a computer does when it actually “computes.” Because human cognition finds it hard to use such an alien device, there is a brief discussion of how programming became “humanized” with the invention of software tools like assembly language and FORTRAN.

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22

R, Leach· Andrew, and Harren Jhoti. Structure-based Drug Discovery. Springer, 2010.

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23

(Editor), Harren Jhoti, and Andrew R. Leach (Editor), eds. Structure-based Drug Discovery. Springer, 2007.

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24

UUelcome Matte©: Déltos from Link Starbureiy: an exercise of imagination, creativity, and wonder. online [weblog format]: The Link Egglepple Starbureiy Museum, 2010.

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25

(Editor), T. Kumazawa, L. Kruger (Editor), and K. Mizumura (Editor), eds. The Polymodal Receptor - A Gateway to Pathological Pain (Progress in Brain Research). Elsevier Science, 1996.

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