F
Francis D. Gibbons
Researcher at AstraZeneca
Publications - 30
Citations - 5130
Francis D. Gibbons is an academic researcher from AstraZeneca. The author has contributed to research in topics: Cancer & Venetoclax. The author has an hindex of 16, co-authored 28 publications receiving 4692 citations. Previous affiliations of Francis D. Gibbons include Harvard University & University of Toronto.
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Journal ArticleDOI
Towards a proteome-scale map of the human protein–protein interaction network
Jean François Rual,Kavitha Venkatesan,Tong Hao,Tomoko Hirozane-Kishikawa,Amélie Dricot,Ning Li,Gabriel F. Berriz,Francis D. Gibbons,Matija Dreze,Nono Ayivi-Guedehoussou,Niels Klitgord,Christophe Simon,Mike Boxem,Stuart Milstein,Jennifer Rosenberg,Debra S. Goldberg,Lan V. Zhang,Sharyl L. Wong,Giovanni Franklin,Siming Li,Joanna S. Albala,Joanna S. Albala,Janghoo Lim,Carlene Fraughton,Estelle Llamosas,Sebiha Cevik,Camille Bex,Philippe Lamesch,Robert S. Sikorski,Jean Vandenhaute,Huda Y. Zoghbi,Alex Smolyar,Stephanie Bosak,Reynaldo Sequerra,Lynn Doucette-Stamm,Michael E. Cusick,David E. Hill,Frederick P. Roth,Marc Vidal +38 more
TL;DR: An initial version of a proteome-scale map of human binary protein–protein interactions is described, which increases by ∼70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins.
Journal ArticleDOI
Judging the Quality of Gene Expression-Based Clustering Methods Using Gene Annotation
TL;DR: It is concluded that enrichment of clusters for biological function is, in general, highest at rather low cluster numbers, and no method outperforms Euclidean distance for ratio-based measurements, or Pearson distance at the optimal choice of cluster number.
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Discovery of Mcl-1-specific inhibitor AZD5991 and preclinical activity in multiple myeloma and acute myeloid leukemia.
Adriana E. Tron,Matthew A. Belmonte,Ammar Adam,Brian Aquila,Brian Aquila,Lawrence H. Boise,Elisabetta Chiarparin,Justin Cidado,Kevin J. Embrey,Eric Gangl,Francis D. Gibbons,Gareth P. Gregory,Gareth P. Gregory,David J. Hargreaves,J. Adam Hendricks,Jeffrey W. Johannes,Ricky W. Johnstone,Ricky W. Johnstone,Steven L. Kazmirski,Jason Grant Kettle,Michelle Lamb,Shannon M. Matulis,Ajay K. Nooka,Martin J. Packer,Bo Peng,Philip B. Rawlins,Daniel W. Robbins,Alwin Schuller,Nancy Su,Wenzhan Yang,Qing Ye,Xiaolan Zheng,J. Paul Secrist,Edwin Clark,David Matthew Wilson,Stephen Fawell,Alexander Hird +36 more
TL;DR: AZD5991 is a macrocyclic molecule with high selectivity and affinity for Mcl-1 that exhibits potent anti-tumor effects as single agent and in combination with bortezomib or venetoclax in preclinical models of multiple myeloma and acute myeloid leukemia.
Journal ArticleDOI
Intensity-based protein identification by machine learning from a library of tandem mass spectra
TL;DR: It is demonstrated that intensity pattern modeling improves peptide and protein identification from MS/MS spectra and reduces peptide identification error by 50–96% without any loss in sensitivity.
Journal ArticleDOI
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.
Lourdes Peña-Castillo,Murat Tasan,Chad L. Myers,Hyunju Lee,Trupti Joshi,Chao Zhang,Yuanfang Guan,Michele Leone,Andrea Pagnani,Wankyu Kim,Chase Krumpelman,Weidong Tian,Guillaume Obozinski,Yanjun Qi,Sara Mostafavi,Guan Ning Lin,Gabriel F. Berriz,Francis D. Gibbons,Gert R. G. Lanckriet,Jian-Ge Qiu,Charles E. Grant,Zafer Barutcuoglu,David P. Hill,David Warde-Farley,Chris Grouios,Debajyoti Ray,Judith A. Blake,Minghua Deng,Michael I. Jordan,William Stafford Noble,Quaid Morris,Judith Klein-Seetharaman,Ziv Bar-Joseph,Ting-Ting Chen,Fengzhu Sun,Olga G. Troyanskaya,Edward M. Marcotte,Dong Xu,Timothy P. Hughes,Frederick P. Roth +39 more
TL;DR: The results show that currently available data for mammals allows predictions with both breadth and accuracy, and many highly novel predictions emerge for the 38% of mouse genes that remain uncharacterized.