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Yusuf Hamied Department of Chemistry

 

My personal website: http://www.kadiliissaar.com/

I am a post-doctoral researcher supported by the Schmidt Science Foundation in partnership with the Rhodes Trust and a fellow at St. John's College. My research focusses on developing new experimental and predictive computational methods for understanding the behaviour of biological molecules and systems, in particular proteins.

Proteins are the executive molecules of life that through diverse set of highly integrated and tightly regulated interactions set the molecular basis for our well-being. Yet the diverse and dynamic nature of proteins has made it challenging to devise methods that could be effectively used for understanding the roles of proteins in human health and disease. As part of my research, I bring the state-of-the-art micron and nano scale fabrication and flow engineering approaches that I developed during my PhD research together with single molecule optical tools and machine-learning based computational approaches to develop methods for understandind the diversity of the biological roles of proteins. One of my key interests is to develop an explorative probe-free platform for single cell proteomic analysis.

Publications

Machine learning aided top-down proteomics on a microfluidic platform
Y Zhang, M Wright, K Saar, P Challa, A Morgunov, Q Peter, S Devenish, C Dobson, TPJ Knowles
(2020)
Machine learning models for predicting protein condensate formation from sequence determinants and embeddings
K Saar, A Morgunov, R Qi, W Arter, G Krainer, A Lee, T Knowles
(2020)
Rapid Structural, Kinetic, and Immunochemical Analysis of Alpha-Synuclein Oligomers in Solution
WE Arter, CK Xu, M Castellana-Cruz, TW Herling, G Krainer, KL Saar, JR Kumita, CM Dobson, TPJ Knowles
– Nano Lett
(2020)
20,
8163
Direct digital sensing of proteins in solution through single-molecule optofluidics
G Krainer, K Saar, W Arter, RPB Jacquat, Q Peter, P Challa, C Taylor, D Klenerman, TPJ Knowles
(2020)
Multidimensional protein characterisation using microfluidic post-column analysis.
T Scheidt, T Kartanas, Q Peter, MM Schneider, KL Saar, T Müller, PK Challa, A Levin, S Devenish, TPJ Knowles
– Lab on a chip
(2020)
20,
2663
Analysis of αB-crystallin polydispersity in solution through native microfluidic electrophoresis
MA Wright, FS Ruggeri, KL Saar, PK Challa, JLP Benesch, TPJ Knowles
– Analyst
(2019)
144,
4413
Rapid two-dimensional characterisation of proteins in solution
KL Saar, Q Peter, T Müller, PK Challa, TW Herling, TPJ Knowles
– Microsyst Nanoeng
(2019)
5,
33
Quaternization of Vinyl/Alkynyl Pyridine Enables Ultrafast Cysteine‐Selective Protein Modification and Charge Modulation
MJ Matos, CD Navo, T Hakala, X Ferhati, A Guerreiro, D Hartmann, B Bernardim, KL Saar, I Compañón, F Corzana, TPJ Knowles, G Jiménez-Osés, GJL Bernardes
– Angewandte Chemie (International ed. in English)
(2019)
58,
6640
Analysis of αB-crystallin polydispersity in solution through native microfluidic electrophoresis
MA Wright, FS Ruggeri, KL Saar, PK Challa, JLP Benesch, TPJ Knowles
– The Analyst
(2019)
144,
4413
Combining Affinity Selection and Specific Ion Mobility for Microchip Protein Sensing.
WE Arter, J Charmet, J Kong, KL Saar, TW Herling, T Müller, UF Keyser, TPJ Knowles
– Analytical chemistry
(2018)
90,
10302
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Research Group

Telephone number

01223 336359

Email address

kls78@cam.ac.uk