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Yusuf Hamied Department of Chemistry

 

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  • Currently displaying 5761 - 5780 of 29347 publications
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
I Cortés-Ciriano, A Bender
– J Chem Inf Model
(2019)
59,
3330
Discerning Bulk and Interfacial Polarons in a Dual Electron Donor/Acceptor Polymer
JM Marin-Beloqui, KJ Fallon, H Bronstein, TM Clarke
– J Phys Chem Lett
(2019)
10,
3813
Energy Landscapes for Digital Alchemy
JWR Morgan, SC Glotzer
(2019)
Characterization of P. falciparum dipeptidyl aminopeptidase 3 specificity identifies differences in amino acid preferences between peptide-based substrates and covalent inhibitors.
LE de Vries, MI Sanchez, K Groborz, L Kuppens, M Poreba, C Lehmann, N Nevins, C Withers-Martinez, DJ Hirst, F Yuan, S Arastu-Kapur, M Horn, M Mares, M Bogyo, M Drag, E Deu
– The FEBS journal
(2019)
286,
3998
Copper-Catalyzed Regio- and Enantioselective Addition of Silicon Grignard Reagents to Alkenes Activated by Azaaryl Groups
W Mao, W Xue, E Irran, M Oestreich
– Angewandte Chemie International Edition
(2019)
58,
10723
An elusive electron shuttle from a facultative anaerobe
E Mevers, L Su, G Pishchany, M Baruch, J Cornejo, E Hobert, E Dimise, CM Ajo-Franklin, J Clardy
– Elife
(2019)
8,
e48054
Bioinspired hydrogel microfibres colour-encoded with colloidal crystals
ZJ Meng, J Zhang, X Deng, J Liu, Z Yu, C Abell
– Materials Horizons
(2019)
6,
1938
Amyloidogenicity of naturally occurring full-length animal IAPP variants
LM Palato, S Pilcher, A Oakes, A Lamba, J Torres, LI Ledesma Monjaraz, C Munoz, E Njoo, DJ Rinauro, KA Menefee, A Tun, BL Jauregui, S Shapiro, OH Nossiff, E Olivares, K Chang, V Nguyen, LA Nogaj, DA Moffet
– J Pept Sci
(2019)
25,
e3199
Targeted covalent inhibitors of MDM2 using electrophile-bearing stapled peptides.
J Charoenpattarapreeda, YS Tan, J Iegre, SJ Walsh, E Fowler, RS Eapen, Y Wu, HF Sore, CS Verma, L Itzhaki, DR Spring
– Chemical communications (Cambridge, England)
(2019)
55,
7914
Catalytic direct amidations in tert-butyl acetate using B(OCH2CF3)3.
CE Coomber, V Laserna, LT Martin, PD Smith, HC Hailes, MJ Porter, TD Sheppard
– Org Biomol Chem
(2019)
17,
6465
A cell topography-based mechanism for ligand discrimination by the T cell receptor
RA Fernandes, KA Ganzinger, JC Tzou, P Jönsson, SF Lee, M Palayret, AM Santos, AR Carr, A Ponjavic, VT Chang, C Macleod, BC Lagerholm, AE Lindsay, O Dushek, A Tilevik, SJ Davis, D Klenerman
– Proc Natl Acad Sci U S A
(2019)
116,
14002
METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation
L Pandolfini, I Barbieri, AJ Bannister, A Hendrick, B Andrews, N Webster, P Murat, P Mach, R Brandi, SC Robson, V Migliori, A Alendar, M d'Onofrio, S Balasubramanian, T Kouzarides
– Mol Cell
(2019)
74,
1278
Realizing 22.5% External Quantum Efficiency for Solution-Processed Thermally Activated Delayed-Fluorescence OLEDs with Red Emission at 622 nm via a Synergistic Strategy of Molecular Engineering and Host Selection.
W Zeng, T Zhou, W Ning, C Zhong, J He, S Gong, G Xie, C Yang
– Advanced materials (Deerfield Beach, Fla.)
(2019)
31,
e1901404
Triple-Cation-Based Perovskite Photocathodes with AZO Protective Layer for Hydrogen Production Applications
S Ahmad, A Sadhanala, RLZ Hoye, V Andrei, MH Modarres, B Zhao, J Rongé, R Friend, M De Volder
– ACS Applied Materials & Interfaces
(2019)
11,
23198
Strategies for the Diversity-Oriented Synthesis of Macrocycles
KT Mortensen, TJ Osberger, TA King, HF Sore, DR Spring
– Chem Rev
(2019)
119,
10288
Effector responsive hydroformylation catalysis.
S-T Bai, V Sinha, AM Kluwer, PR Linnebank, Z Abiri, P Dydio, M Lutz, B de Bruin, JNH Reek
– Chem Sci
(2019)
10,
7389
Critiquing Protein Family Classification Models Using Sufficient Input Subsets
B Carter, M Bileschi, J Smith, T Sanderson, D Bryant, D Belanger, L Colwell
(2019)
674119
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images.
I Cortés-Ciriano, A Bender
– Journal of Cheminformatics
(2019)
11,
41
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I Cortés-Ciriano, A Bender
– Journal of cheminformatics
(2019)
11,
41
Impact of sp2 Carbon Edge Effects on the Electron-Transfer Kinetics of the Ferrocene/Ferricenium Process at a Boron-Doped Diamond Electrode in an Ionic Liquid
J Li, CL Bentley, SY Tan, VSS Mosali, MA Rahman, SJ Cobb, SX Guo, JV Macpherson, PR Unwin, AM Bond, J Zhang
– The Journal of Physical Chemistry C
(2019)
123,
17397