 Connection
Timothy Whitehead to Protein Binding
This is a "connection" page, showing publications Timothy Whitehead has written about Protein Binding.
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Connection Strength |
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1.428 |
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Leonard AC, Friedman AJ, Chayer R, Petersen BM, Woojuh J, Xing Z, Cutler SR, Kaar JL, Shirts MR, Whitehead TA. Rationalizing Diverse Binding Mechanisms to the Same Protein Fold: Insights for Ligand Recognition and Biosensor Design. ACS Chem Biol. 2024 08 16; 19(8):1757-1772.
Score: 0.567
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Daffern N, Johansson KE, Baumer ZT, Robertson NR, Woojuh J, Bedewitz MA, Davis Z, Wheeldon I, Cutler SR, Lindorff-Larsen K, Whitehead TA. GMMA Can Stabilize Proteins Across Different Functional Constraints. J Mol Biol. 2024 Jun 01; 436(11):168586.
Score: 0.140
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Medina-Cucurella AV, Zhu Y, Bowen SJ, Bergeron LM, Whitehead TA. Pro region engineering of nerve growth factor by deep mutational scanning enables a yeast platform for conformational epitope mapping of anti-NGF monoclonal antibodies. Biotechnol Bioeng. 2018 08; 115(8):1925-1937.
Score: 0.092
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Medina-Cucurella AV, Whitehead TA. Characterizing Protein-Protein Interactions Using Deep Sequencing Coupled to Yeast Surface Display. Methods Mol Biol. 2018; 1764:101-121.
Score: 0.090
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Klesmith JR, Bacik JP, Wrenbeck EE, Michalczyk R, Whitehead TA. Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning. Proc Natl Acad Sci U S A. 2017 02 28; 114(9):2265-2270.
Score: 0.085
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Haarmeyer CN, Smith MD, Chundawat SP, Sammond D, Whitehead TA. Insights into cellulase-lignin non-specific binding revealed by computational redesign of the surface of green fluorescent protein. Biotechnol Bioeng. 2017 04; 114(4):740-750.
Score: 0.083
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Kowalsky CA, Whitehead TA. Determination of binding affinity upon mutation for type I dockerin-cohesin complexes from Clostridium thermocellum and Clostridium cellulolyticum using deep sequencing. Proteins. 2016 12; 84(12):1914-1928.
Score: 0.083
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Whitehead TA, Baker D, Fleishman SJ. Computational design of novel protein binders and experimental affinity maturation. Methods Enzymol. 2013; 523:1-19.
Score: 0.064
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Whitehead TA, Chevalier A, Song Y, Dreyfus C, Fleishman SJ, De Mattos C, Myers CA, Kamisetty H, Blair P, Wilson IA, Baker D. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing. Nat Biotechnol. 2012 May 27; 30(6):543-8.
Score: 0.061
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Rosenberg AM, Ayres CM, Medina-Cucurella AV, Whitehead TA, Baker BM. Enhanced T cell receptor specificity through framework engineering. Front Immunol. 2024; 15:1345368.
Score: 0.035
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Banach BB, Cerutti G, Fahad AS, Shen CH, Oliveira De Souza M, Katsamba PS, Tsybovsky Y, Wang P, Nair MS, Huang Y, Francino-Urdániz IM, Steiner PJ, Gutiérrez-González M, Liu L, López Acevedo SN, Nazzari AF, Wolfe JR, Luo Y, Olia AS, Teng IT, Yu J, Zhou T, Reddem ER, Bimela J, Pan X, Madan B, Laflin AD, Nimrania R, Yuen KY, Whitehead TA, Ho DD, Kwong PD, Shapiro L, DeKosky BJ. Paired heavy- and light-chain signatures contribute to potent SARS-CoV-2 neutralization in public antibody responses. Cell Rep. 2021 10 05; 37(1):109771.
Score: 0.029
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Acquaye-Seedah E, Reczek EE, Russell HH, DiVenere AM, Sandman SO, Collins JH, Stein CA, Whitehead TA, Maynard JA. Characterization of Individual Human Antibodies That Bind Pertussis Toxin Stimulated by Acellular Immunization. Infect Immun. 2018 06; 86(6).
Score: 0.023
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Bacik JP, Klesmith JR, Whitehead TA, Jarboe LR, Unkefer CJ, Mark BL, Michalczyk R. Producing glucose 6-phosphate from cellulosic biomass: structural insights into levoglucosan bioconversion. J Biol Chem. 2015 Oct 30; 290(44):26638-48.
Score: 0.019
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Fleishman SJ, Whitehead TA, Strauch EM, Corn JE, Qin S, Zhou HX, Mitchell JC, Demerdash ON, Takeda-Shitaka M, Terashi G, Moal IH, Li X, Bates PA, Zacharias M, Park H, Ko JS, Lee H, Seok C, Bourquard T, Bernauer J, Poupon A, Azé J, Soner S, Ovali SK, Ozbek P, Tal NB, Haliloglu T, Hwang H, Vreven T, Pierce BG, Weng Z, Pérez-Cano L, Pons C, Fernández-Recio J, Jiang F, Yang F, Gong X, Cao L, Xu X, Liu B, Wang P, Li C, Wang C, Robert CH, Guharoy M, Liu S, Huang Y, Li L, Guo D, Chen Y, Xiao Y, London N, Itzhaki Z, Schueler-Furman O, Inbar Y, Potapov V, Cohen M, Schreiber G, Tsuchiya Y, Kanamori E, Standley DM, Nakamura H, Kinoshita K, Driggers CM, Hall RG, Morgan JL, Hsu VL, Zhan J, Yang Y, Zhou Y, Kastritis PL, Bonvin AM, Zhang W, Camacho CJ, Kilambi KP, Sircar A, Gray JJ, Ohue M, Uchikoga N, Matsuzaki Y, Ishida T, Akiyama Y, Khashan R, Bush S, Fouches D, Tropsha A, Esquivel-Rodríguez J, Kihara D, Stranges PB, Jacak R, Kuhlman B, Huang SY, Zou X, Wodak SJ, Janin J, Baker D. Community-wide assessment of protein-interface modeling suggests improvements to design methodology. J Mol Biol. 2011 Nov 25; 414(2):289-302.
Score: 0.015
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Fleishman SJ, Corn JE, Strauch EM, Whitehead TA, Karanicolas J, Baker D. Hotspot-centric de novo design of protein binders. J Mol Biol. 2011 Nov 11; 413(5):1047-62.
Score: 0.015
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Fleishman SJ, Whitehead TA, Ekiert DC, Dreyfus C, Corn JE, Strauch EM, Wilson IA, Baker D. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin. Science. 2011 May 13; 332(6031):816-21.
Score: 0.014
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Fleishman SJ, Corn JE, Strauch EM, Whitehead TA, Andre I, Thompson J, Havranek JJ, Das R, Bradley P, Baker D. Rosetta in CAPRI rounds 13-19. Proteins. 2010 Nov 15; 78(15):3212-8.
Score: 0.014
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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