T
Tyler M. Borrman
Researcher at University of Massachusetts Medical School
Publications - 25
Citations - 916
Tyler M. Borrman is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Biology & T-cell receptor. The author has an hindex of 12, co-authored 19 publications receiving 620 citations. Previous affiliations of Tyler M. Borrman include University of Massachusetts Amherst.
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Journal ArticleDOI
Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk.
Prashanth Rajarajan,Tyler M. Borrman,Will Liao,Nadine Schrode,Erin Flaherty,Charlize Casiño,Samuel K. Powell,Chittampalli Yashaswini,Elizabeth A. LaMarca,Bibi Kassim,Behnam Javidfar,Sergio Espeso-Gil,Aiqun Li,Hyejung Won,Daniel H. Geschwind,Seok-Man Ho,Matthew L. MacDonald,Gabriel E. Hoffman,Panos Roussos,Bin Zhang,Chang-Gyu Hahn,Zhiping Weng,Kristen J. Brennand,Schahram Akbarian +23 more
TL;DR: This study shows that neural differentiation is associated with highly cell type–specific 3DG remodeling, which is paralleled by an expansion of3DG space associated with SZ risk, and tests whether the neural cell–specific SZ-related “chromosomal connectome” showed evidence of coordinated transcriptional regulation and proteomic interaction of the participating genes.
Journal ArticleDOI
Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.
Marc F. Lensink,Sameer Velankar,Andriy Kryshtafovych,Shen You Huang,Dina Schneidman-Duhovny,Andrej Sali,Joan Segura,Narcis Fernandez-Fuentes,Shruthi Viswanath,Ron Elber,Sergei Grudinin,Petr Popov,Emilie Neveu,Hasup Lee,Minkyung Baek,Sangwoo Park,Lim Heo,Gyu Rie Lee,Chaok Seok,Sanbo Qin,Huan-Xiang Zhou,David W. Ritchie,Bernard Maigret,Marie-Dominique Devignes,Anisah W. Ghoorah,Mieczyslaw Torchala,Raphael A. G. Chaleil,Paul A. Bates,Efrat Ben-Zeev,Miriam Eisenstein,Surendra S. Negi,Zhiping Weng,Thom Vreven,Brian G. Pierce,Tyler M. Borrman,Jinchao Yu,Françoise Ochsenbein,Raphael Guerois,Anna Vangone,João P. G. L. M. Rodrigues,Gydo C. P. van Zundert,Mehdi Nellen,Li C. Xue,Ezgi Karaca,Adrien S. J. Melquiond,Koen M. Visscher,Panagiotis L. Kastritis,Alexandre M. J. J. Bonvin,Xianjin Xu,Liming Qiu,Chengfei Yan,Jilong Li,Zhiwei Ma,Jianlin Cheng,Xiaoqin Zou,Yang Shen,Lenna X. Peterson,Hyung Rae Kim,Amit Roy,Amit Roy,Xusi Han,Juan Esquivel-Rodríguez,Daisuke Kihara,Xiaofeng Yu,Neil J. Bruce,Jonathan C. Fuller,Rebecca C. Wade,Ivan Anishchenko,Petras J. Kundrotas,Ilya A. Vakser,Kenichiro Imai,Kazunori D. Yamada,Toshiyuki Oda,Tsukasa Nakamura,Kentaro Tomii,Chiara Pallara,Miguel Romero-Durana,Brian Jiménez-García,Iain H. Moal,Juan Fernández-Recio,Jong Young Joung,Jong Yun Kim,Keehyoung Joo,Jooyoung Lee,Jooyoung Lee,Dima Kozakov,Sandor Vajda,Scott E. Mottarella,David R. Hall,Dmitri Beglov,Artem B. Mamonov,Bing Xia,Tanggis Bohnuud,Carlos A. Del Carpio,Carlos A. Del Carpio,Eichiro Ichiishi,Nicholas A. Marze,Daisuke Kuroda,Shourya S. Roy Burman,Jeffrey J. Gray,Edrisse Chermak,Luigi Cavallo,Romina Oliva,Andrey Tovchigrechko,Shoshana J. Wodak +104 more
TL;DR: Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations, and that docking procedures tend to perform better than standard homology modeled techniques.
Journal ArticleDOI
Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.
Marc F. Lensink,Guillaume Brysbaert,Nurul Nadzirin,Sameer Velankar,Raphael A. G. Chaleil,Tereza Gerguri,Paul A. Bates,Elodie Laine,Alessandra Carbone,Alessandra Carbone,Sergei Grudinin,Ren Kong,Ranran Liu,Xu Ximing,Hang Shi,Shan Chang,Miriam Eisenstein,Agnieszka S. Karczyńska,Cezary Czaplewski,Emilia A. Lubecka,Agnieszka G. Lipska,Paweł Krupa,Magdalena A. Mozolewska,Łukasz Golon,Sergey A. Samsonov,Adam Liwo,Adam Liwo,Silvia Crivelli,Guillaume Pagès,Mikhail Karasikov,Maria Kadukova,Maria Kadukova,Yumeng Yan,Sheng-You Huang,Mireia Rosell,Mireia Rosell,Luis A. Rodríguez-Lumbreras,Luis A. Rodríguez-Lumbreras,Miguel Romero-Durana,Lucía Díaz-Bueno,Juan Fernández-Recio,Juan Fernández-Recio,Charles Christoffer,Genki Terashi,Woong-Hee Shin,Tunde Aderinwale,Sai Raghavendra Maddhuri Venkata Subraman,Daisuke Kihara,Dima Kozakov,Sandor Vajda,Kathyn Porter,Dzmitry Padhorny,Israel Desta,Dmitri Beglov,Mikhail Ignatov,Sergey Kotelnikov,Sergey Kotelnikov,Iain H. Moal,David W. Ritchie,Isaure Chauvot de Beauchêne,Bernard Maigret,Marie-Dominique Devignes,Maria Elisa Ruiz Echartea,Didier Barradas-Bautista,Zhen Cao,Luigi Cavallo,Romina Oliva,Yue Cao,Yang Shen,Minkyung Baek,Taeyong Park,Hyeonuk Woo,Chaok Seok,M. Braitbard,Lirane Bitton,Dina Scheidman-Duhovny,Justas Dapkūnas,Kliment Olechnovič,Česlovas Venclovas,Petras J. Kundrotas,Saveliy Belkin,Devlina Chakravarty,Varsha D. Badal,Ilya A. Vakser,Thom Vreven,Sweta Vangaveti,Tyler M. Borrman,Zhiping Weng,Johnathan D. Guest,Ragul Gowthaman,Brian G. Pierce,Xianjin Xu,Rui Duan,Liming Qiu,Jie Hou,Benjamin Ryan Merideth,Zhiwei Ma,Jianlin Cheng,Xiaoqin Zou,Panos Koukos,Jorge Roel-Touris,Francesco Ambrosetti,Cunliang Geng,Jörg Schaarschmidt,Mikael Trellet,Adrien S. J. Melquiond,Li C. Xue,Brian Jiménez-García,Charlotte W. van Noort,Rodrigo V. Honorato,Alexandre M. J. J. Bonvin,Shoshana J. Wodak +111 more
TL;DR: CAPRI Round 46 indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
Journal ArticleDOI
Replication timing is regulated by the number of MCMs loaded at origins
Shankar P. Das,Tyler M. Borrman,Victor W.T. Liu,Scott Cheng-Hsin Yang,John Bechhoefer,Nicholas Rhind +5 more
TL;DR: It is shown for the first time in vivo that multiple MCMs are loaded at origins, which provides a mechanistic explanation for the observed heterogeneity in origin firing and helps to explain how defined replication timing profiles emerge from stochastic origin firing.
Journal ArticleDOI
Emerging Concepts in TCR Specificity: Rationalizing and (Maybe) Predicting Outcomes.
Nishant K. Singh,Timothy P. Riley,Sarah Catherine B Baker,Tyler M. Borrman,Zhiping Weng,Brian M. Baker +5 more
TL;DR: It is shown how the TCR specificity/cross-reactivity duality can be rationalized from structural and biophysical principles, and how these same principles can also explain amino acid preferences in immunogenic epitopes and highlight opportunities for structural considerations in predictive immunology.