Claire L. Harris

ORCID: 0000-0002-3834-148X
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Research Areas
  • Complement system in diseases
  • SARS-CoV-2 and COVID-19 Research
  • Animal Virus Infections Studies
  • interferon and immune responses
  • Transgenic Plants and Applications
  • RNA Interference and Gene Delivery
  • Blood Coagulation and Thrombosis Mechanisms
  • Erythrocyte Function and Pathophysiology
  • Drug Transport and Resistance Mechanisms
  • Erythropoietin and Anemia Treatment
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Dialysis and Renal Disease Management
  • Bacterial Infections and Vaccines
  • Adenosine and Purinergic Signaling
  • Acute Myeloid Leukemia Research
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Barrier Structure and Function Studies
  • Chronic Myeloid Leukemia Treatments
  • Apelin-related biomedical research

Newcastle University
2019-2025

University of Oxford
2024

Cardiff University
2006-2015

University of Wales
2003

The complement system is a key component of innate and adaptive immune responses. Complement regulation critical for prevention control disease. We have determined the crystal structure regulatory enzyme human factor I (fI). FI in proteolytically inactive form, demonstrating that it circulates zymogen-like state despite being fully processed to mature sequence. Mapping functional data from mutants fI onto suggests this form maintained by noncatalytic heavy-chain allosterically modulating...

10.1073/pnas.1102167108 article EN Proceedings of the National Academy of Sciences 2011-07-18
Oleksandra Herasymenko Madhushika Silva Abd Al‐Aziz A. Abu‐Saleh Ayaz Ahmad Jesus Antonio Alvarado-Huayhuaz and 95 more Oscar E. A. Arce Roly J. Armstrong C.H. Arrowsmith Kelly E. R. Bachta Hartmut Beck Dénes Berta M. Bieniek Vincent Blay Albina Bolotokova Philip E. Bourne Marco Breznik Peter J. Brown Aaron D. G. Campbell Emanuele Carosati Irene Chau D. J. A. Cole Ben Cree Wim Dehaen Katrin Denzinger Karina Machado Ian Dunn Prasannavenkatesh Durai Kristina Edfeldt A.M. Edwards Darren Fayne Kallie Friston Pegah Ghiabi Elisa Gibson Judith Guenther Anders Gunnarsson Alexander Hillisch Douglas R. Houston Jan H. Jensen Rachel Harding Claire L. Harris Laurent Hoffer Anders Hogner Joshua T. Horton Scott Houliston Judd F. Hultquist Ashley Hutchinson John J. Irwin Marko Jukič Shubhangi Kandwal Andrea Karlova V.L. Katis Ryan P. Kich Dmitri Kireev David Ryan Koes Nicole L. Inniss Uta Lessel Sijie Liu P. Loppnau Wei Lu Sam Alexander Martino Miles McGibbon Jens Meiler Akhila Mettu Sam Money-Kyrle Rocco Moretti Yurii S. Moroz Charuvaka Muvva J.A. Newman Leon Obendorf Brooks Paige Amit Pandit Keunwan Park Sumera Perveen Rachael Pirie Gennady Poda M. V. Protopopov Vera Pütter Federico Ricci Natalie J. Roper Edina Rosta Margarita Rzhetskaya Yogesh Sabnis K.J.F. Satchell Frederico Schmitt Kremer Thomas W. Scott Almagul Seitova Casper Steinmann Valerij Talagayev Olga O. Tarkhanova Natalie J. Tatum Dakota Treleaven Adriano Velasque Werhli W. Patrick Walters Xiaowen Wang Jude Wells Geoffrey Wells Yvonne Westermaier Gerhard Wolber Lars Wortmann Jixian Zhang

A critical assessment of computational hit finding experiments (CACHE) challenge was conducted to predict ligands for the SARS-CoV-2 Nsp13 helicase RNA binding site, a highly conserved COVID-19 target. Twenty-three participating teams comprised chemists and data scientists used protein structure from fragment-screening paired with advanced machine learning methods each up 100 inhibitory ligands. Across all teams, 1957 compounds were predicted subsequently procured commercial catalogs...

10.26434/chemrxiv-2025-8f0rq preprint EN cc-by 2025-03-04
Oleksandra Herasymenko Madhushika Silva Abd Al‐Aziz A. Abu‐Saleh Ayaz Ahmad Jesus Antonio Alvarado-Huayhuaz and 95 more Oscar E. A. Arce Roly J. Armstrong C. Arrowsmith Kelly E. R. Bachta Hartmut Beck Dénes Berta M. Bieniek Vincent Blay Albina Bolotokova Philip E. Bourne Marco Breznik Peter J. Brown Aaron D. G. Campbell Emanuele Carosati Irene Chau D. J. A. Cole Ben Cree Wim Dehaen Katrin Denzinger Karina Machado Ian Dunn Prasannavenkatesh Durai Kristina Edfeldt A.M. Edwards Darren Fayne Kallie Friston Pegah Ghiabi Elisa Gibson Judith Günther Anders Gunnarsson Alexander Hillisch Douglas R. Houston Jan H. Jensen Rachel Harding Claire L. Harris Laurent Hoffer Anders Hogner Joshua T. Horton Scott Houliston Judd F. Hultquist Ashley Hutchinson John J. Irwin Marko Jukič Shubhangi Kandwal Andrea Karlova V.L. Katis Ryan P. Kich Dmitri Kireev David Ryan Koes Nicole L. Inniss Uta Lessel Sijie Liu P. Loppnau Wei Lu Sam Alexander Martino Miles McGibbon Jens Meiler Akhila Mettu Sam Money-Kyrle Rocco Moretti Yurii S. Moroz Charuvaka Muvva J.A. Newman Leon Obendorf Brooks Paige Amit Pandit Keunwan Park Sumera Perveen Rachael Pirie Gennady Poda M. V. Protopopov Vera Pütter Federico Ricci Natalie J. Roper Edina Rosta Margarita Rzhetskaya Yogesh Sabnis K.J.F. Satchell Frederico Schmitt Kremer T. W. Scott Almagul Seitova Casper Steinmann Valerij Talagayev Olga O. Tarkhanova Natalie J. Tatum Dakota Treleaven Adriano Velasque Werhli W. Patrick Walters Xiaowen Wang Jude Wells Geoffrey Wells Yvonne Westermaier Gerhard Wolber Lars Wortmann Jixian Zhang

A critical assessment of computational hit finding experiments (CACHE) challenge was conducted to predict ligands for the SARS-CoV-2 Nsp13 helicase RNA binding site, a highly conserved COVID-19 target. Twenty-three participating teams comprised chemists and data scientists used protein structure from fragment-screening paired with advanced machine learning methods each up 100 inhibitory ligands. Across all teams, 1957 compounds were predicted subsequently procured commercial catalogs...

10.26434/chemrxiv-2025-8f0rq-v2 preprint EN cc-by 2025-03-05
Oleksandra Herasymenko Madhushika Silva Abd Al‐Aziz A. Abu‐Saleh Ayaz Ahmad Jesus Antonio Alvarado-Huayhuaz and 95 more Oscar E. A. Arce Roly J. Armstrong C. Arrowsmith Kelly E. R. Bachta Hartmut Beck Dénes Berta M. Bieniek Vincent Blay Albina Bolotokova Philip E. Bourne Marco Breznik Peter J. Brown Aaron D. G. Campbell Emanuele Carosati Irene Chau D. J. A. Cole Ben Cree Wim Dehaen Katrin Denzinger Karina Machado Ian Dunn Prasannavenkatesh Durai Kristina Edfeldt A.M. Edwards Darren Fayne Kallie Friston Pegah Ghiabi Elisa Gibson Judith Günther Anders Gunnarsson Alexander Hillisch Douglas R. Houston Jan H. Jensen Rachel Harding Claire L. Harris Laurent Hoffer Anders Hogner Joshua T. Horton Scott Houliston Judd F. Hultquist Ashley Hutchinson John J. Irwin Marko Jukič Shubhangi Kandwal Andrea Karlova V.L. Katis Ryan P. Kich Dmitri Kireev David Ryan Koes Nicole L. Inniss Uta Lessel Sijie Liu P. Loppnau Wei Lu Sam Alexander Martino Miles McGibbon Jens Meiler Akhila Mettu Sam Money-Kyrle Rocco Moretti Yurii S. Moroz Charuvaka Muvva J.A. Newman Leon Obendorf Brooks Paige Amit Pandit Keunwan Park Sumera Perveen Rachael Pirie Gennady Poda M. V. Protopopov Vera Pütter Federico Ricci Natalie J. Roper Edina Rosta Margarita Rzhetskaya Yogesh Sabnis K.J.F. Satchell Frederico Schmitt Kremer T. W. Scott Almagul Seitova Casper Steinmann Valerij Talagayev Olga O. Tarkhanova Natalie J. Tatum Dakota Treleaven Adriano Velasque Werhli W. Patrick Walters Xiaowen Wang Jude Wells Geoffrey Wells Yvonne Westermaier Gerhard Wolber Lars Wortmann Jixian Zhang

A critical assessment of computational hit finding experiments (CACHE) challenge was conducted to predict ligands for the SARS-CoV-2 Nsp13 helicase RNA binding site, a highly conserved COVID-19 target. Twenty-three participating teams comprised chemists and data scientists used protein structure from fragment-screening paired with advanced machine learning methods each up 100 inhibitory ligands. Across all teams, 1957 compounds were predicted subsequently procured commercial catalogs...

10.26434/chemrxiv-2025-8f0rq-v3 preprint EN cc-by 2025-03-06

Peritonitis and the rare sequela of encapsulating peritoneal sclerosis (EPS) are serious problems in patients on dialysis therapy. Chronic persistent injuries may be a risk factor EPS. We previously reported that chronic, proliferative peritonitis developed when zymosan was administered intraperitoneally following scraping injury rat peritoneum (Mizuno M, Ito Y, Hepburn N, Mizuno T, Noda Yuzawa Harris CL, Morgan BP, Matsuo S. J Immunol 183: 1403–1412, 2009). Peritoneal membrane complement...

10.1152/ajprenal.00652.2011 article EN AJP Renal Physiology 2012-02-16

Patients with genetically determined deficiency of complement component 5 are usually diagnosed because recurrent invasive Neisseria meningitidis infections. Approximately 40 individual cases have been worldwide. Nevertheless, reports the responsible genetic defects sporadic, and we know no previous C5 being associated a number independent meningococcal disease in particular communities. Here describe seven unrelated Western Cape, South African families. Three different mutations...

10.1016/j.molimm.2014.11.010 article EN cc-by-nc-nd Molecular Immunology 2014-12-20

Introduction Complement-based drug discovery is undergoing a renaissance, empowered by new advances in structural biology, complement biology and development. Certain components of the pathway, particularly C1q C3, have been extensively studied context neurodegenerative disease, established as key therapeutic targets. C5 also has huge potential this arena, with its druggability clearly demonstrated success C5-inhibitor eculizumab.Areas covered We will discuss evidence supporting target along...

10.1080/14728222.2023.2177532 article EN cc-by Expert Opinion on Therapeutic Targets 2023-02-01

AbstractAs described in Chapter 1, the complement system comprises a battery of at least 20 components capable immediate response to foreign organism or cell, resulting lysis opsonization and phagocytosis. Uncontroled activation would result damage host tissues, extreme cases, consumption effective depletion components. Intrinsic cascade are multiple strategies for control, such as inherent lability enzymes, C3 C5 convertases, shortlived active/binding sites, binding site on C5b67 membranes....

10.1385/1-59259-056-x:83 article EN Humana Press eBooks 2003-11-14

<h3></h3> Despite a wealth of knowledge in the complexities complement cascade, and many decades endeavour, very few drugs have progressed to clinic. Recently, strong genetic associations with common diseases emerged fuelled fire drug discovery leading an explosion therapies development; while these agents others before them failed progress, their legacy is key future success. Obstacles successful development include target concentration turnover rates, ability appropriate site. The...

10.1136/annrheumdis-2019-eular.8492 article EN Annals of the Rheumatic Diseases 2019-06-01
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