Work with thought leaders and academic experts in Structural Biology

Companies can greatly benefit from collaborating with academic researchers in the field of Structural Biology. These experts can provide valuable insights and expertise in understanding the structure and function of biological molecules. Here are some ways companies can collaborate with them: 1. Drug Discovery and Development: Structural biologists can help in identifying potential drug targets and designing new drugs by studying the structure of target molecules. 2. Protein Engineering: They can assist in modifying and optimizing proteins for various applications, such as enzyme engineering, biocatalysis, and protein therapeutics. 3. Biomolecular Interactions: Structural biologists can investigate the interactions between proteins, nucleic acids, and other biomolecules, providing insights into molecular recognition and signaling pathways. 4. Structural Analysis: They can determine the three-dimensional structures of biomolecules using techniques like X-ray crystallography, NMR spectroscopy, and cryo-electron microscopy. 5. Biotechnology and Biomedical Research: Collaborating with structural biologists can enhance research in areas like protein engineering, drug delivery systems, and understanding disease mechanisms. By partnering with academic researchers in Structural Biology, companies can leverage their expertise to drive innovation, develop new products, and stay ahead in the competitive market.

Researchers on NotedSource with backgrounds in Structural Biology include Mohammad Imran Khan, Aimee Eggler, Martin Tsui, Ajay Badhan, Dr. David Siderovski, Ph.D., Ping Luo, and john kerry.

Martin Tsui

San Francisco, California, United States of America
University of California, San Francisco
Most Relevant Research Expertise
Structural Biology
Other Research Expertise (15)
Biochemistry
Cryo-EM
CRISPR
Molecular Assembly and Interaction
Molecular Biology
And 10 more
About
Martin Tsui is an accomplished scientist with a strong background in biochemistry. He received his Ph.D. in Molecular Biophysics from Florida State University in 2017, where he conducted research on the structure and function of CRISPR proteins. Prior to that, he obtained his B.S. in Chemistry from the University of California, San Diego in 2012. After completing his graduate studies, Martin founded his own company, Stealth, where he serves as a Founder & CEO. Under his leadership, the company has developed innovative solutions for the biotech industry and has gained recognition for its groundbreaking research. Before starting his company, Martin worked as a Senior Scientist at Amazon, where he applied his expertise in protein biochemistry and CRISPR to improve the company's product development processes and creating new products. He also gained valuable experience as a Postdoctoral Scholar at the University of California, San Francisco and Postdoctoral Fellow at the Van Andel Institute, where he studied cancer proteins, SARS-CoV-2, HIV proteins, and the role of proteins in neurodegenerative diseases, respectively. Martin is a highly driven and passionate individual who is dedicated to advancing the field of biotechnology. His impressive education and diverse experience have equipped him with the skills and knowledge to make significant contributions to the scientific community. He continues to pursue new opportunities to further his research and make a positive impact in the world of science.
Most Relevant Publications (2+)

16 total publications

Structure Principles of CRISPR-Cas Surveillance and Effector Complexes

Annual Review of Biophysics / Jun 22, 2015

Tsui, T. K. M., & Li, H. (2015). Structure Principles of CRISPR-Cas Surveillance and Effector Complexes. Annual Review of Biophysics, 44(1), 229–255. https://doi.org/10.1146/annurev-biophys-060414-033939

Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps

Structure / Mar 01, 2023

Remesh, S. G., Merz, G. E., Brilot, A. F., Chio, U. S., Rizo, A. N., Pospiech, T. H., Lui, I., Laurie, M. T., Glasgow, J., Le, C. Q., Zhang, Y., Diwanji, D., Hernandez, E., Lopez, J., Mehmood, H., Pawar, K. I., Pourmal, S., Smith, A. M., Zhou, F., … Verba, K. A. (2023). Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps. Structure, 31(3), 253-264.e6. https://doi.org/10.1016/j.str.2023.01.009

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Ajay Badhan

Lethbridge, Alberta, Canada
Research Biologist, Lethbridge Research Center, Canada
Most Relevant Research Expertise
Structural Biology
Other Research Expertise (26)
Animal nutrition
cell wall biosynthesis and its deconstruction
biofuels
Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
And 21 more
About
I am a proficient researcher with valuable research and teaching experience acquired at distinguished institutes like Complex Carbohydrate Research Center, US, University of Alberta, Canada, and Lethbridge Research Center (AAFC), Canada. I have been working for past 15 years on multiple projects focused on the economical, environmental and social sustainability of agricultural production. Improvement in livestock performance, productivity, and health by unlocking the microbiome, development of clean technologies, improving agriculture environmental performance, and Increase agro-ecosystem resilience are prime objectives for my research.
Most Relevant Publications (1+)

29 total publications

Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses

Computational and Structural Biotechnology Journal / Jan 01, 2022

Badhan, A., Low, K. E., Jones, D. R., Xing, X., Milani, M. R. M., Polo, R. O., Klassen, L., Venketachalam, S., Hahn, M. G., Abbott, D. W., & McAllister, T. A. (2022). Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses. Computational and Structural Biotechnology Journal, 20, 148–164. https://doi.org/10.1016/j.csbj.2021.12.009

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Dr. David Siderovski, Ph.D.

Fort Worth
Professor of Computational Pharmacology; Chair of HSC SBS Dept. of Pharmacology & Neuroscience
Most Relevant Research Expertise
Structural Biology
Other Research Expertise (25)
Regulator of G protein Signaling (RGS) proteins
Pharmacology
Molecular Biology
Cellular and Molecular Neuroscience
Molecular Medicine
And 20 more
About
Dr. David Siderovski is a renowned scientist and academic, with a career spanning over two decades. He received his Ph.D. in Medical Biophysics from the University of Toronto in 1997, where he specialized in signal transduction and cellular signaling pathways. After completing his doctorate, Dr. Siderovski held various faculty positions at prestigious universities, including the University of North Carolina at Chapel Hill, West Virginia University School of Medicine, and the University of North Texas Health Science Center. At these institutions, Dr. Siderovski has made significant contributions to the field of pharmacology through his research on G protein-coupled receptors (GPCRs) and RGS proteins, which are key regulators of GPCR cellular signaling. His work has helped to advance the understanding of RGS proteins and their roles in various diseases, including cancer, cardiovascular disorders, and neurological disorders. In addition to his research, Dr. Siderovski is also a dedicated educator and mentor. He has taught and mentored numerous undergraduate, graduate, and medical students, and has served as a mentor for postdoctoral fellows and junior faculty members. He is known for his passion and enthusiasm for science and his ability to inspire and guide the next generation of scientists. Dr. Siderovski has received numerous awards and honors for his contributions to the scientific community. He was the recipient of the Abel Award in 2004 from the American Society of Pharmacology & Experimental Therapeutics for his pioneering discoveries of the RGS proteins and the GoLoco motif. He has also served on editorial boards of several scientific journals (including a decade at *J.Biol.Chem.*) and has been a member of various scientific committees, NIH study section panels, and pharma/biotech advisory boards, including for Inspire, Wyeth, and BellBrook Labs. Overall, Dr. David Siderovski is a highly accomplished and respected scientist and educator, whose research has had a significant impact on the field of pharmacology. His dedication and passion for science continue to inspire and influence the next generation of researchers in this field.
Most Relevant Publications (7+)

94 total publications

Structural and Evolutionary Division of Phosphotyrosine Binding (PTB) Domains

Journal of Molecular Biology / Jan 01, 2005

Uhlik, M. T., Temple, B., Bencharit, S., Kimple, A. J., Siderovski, D. P., & Johnson, G. L. (2005). Structural and Evolutionary Division of Phosphotyrosine Binding (PTB) Domains. Journal of Molecular Biology, 345(1), 1–20. https://doi.org/10.1016/j.jmb.2004.10.038

Structural basis for the selective activation of Rho GTPases by Dbl exchange factors

Nature Structural Biology / May 13, 2002

Snyder, J. T., Worthylake, D. K., Rossman, K. L., Betts, L., Pruitt, W. M., Siderovski, D. P., Der, C. J., & Sondek, J. (2002). Structural basis for the selective activation of Rho GTPases by Dbl exchange factors. Nature Structural Biology, 9(6), 468–475. https://doi.org/10.1038/nsb796

Crystal structure of the multifunctional Gβ5–RGS9 complex

Nature Structural & Molecular Biology / Jan 20, 2008

Cheever, M. L., Snyder, J. T., Gershburg, S., Siderovski, D. P., Harden, T. K., & Sondek, J. (2008). Crystal structure of the multifunctional Gβ5–RGS9 complex. Nature Structural & Molecular Biology, 15(2), 155–162. https://doi.org/10.1038/nsmb.1377

Structure-based Protocol for Identifying Mutations that Enhance Protein–Protein Binding Affinities

Journal of Molecular Biology / Aug 01, 2007

Sammond, D. W., Eletr, Z. M., Purbeck, C., Kimple, R. J., Siderovski, D. P., & Kuhlman, B. (2007). Structure-based Protocol for Identifying Mutations that Enhance Protein–Protein Binding Affinities. Journal of Molecular Biology, 371(5), 1392–1404. https://doi.org/10.1016/j.jmb.2007.05.096

Structure of Gαi1 Bound to a GDP-Selective Peptide Provides Insight into Guanine Nucleotide Exchange

Structure / Jul 01, 2005

Johnston, C. A., Willard, F. S., Jezyk, M. R., Fredericks, Z., Bodor, E. T., Jones, M. B., Blaesius, R., Watts, V. J., Harden, T. K., Sondek, J., Ramer, J. K., & Siderovski, D. P. (2005). Structure of Gαi1 Bound to a GDP-Selective Peptide Provides Insight into Guanine Nucleotide Exchange. Structure, 13(7), 1069–1080. https://doi.org/10.1016/j.str.2005.04.007

Integrating energy calculations with functional assays to decipher the specificity of G protein–RGS protein interactions

Nature Structural & Molecular Biology / Jun 19, 2011

Kosloff, M., Travis, A. M., Bosch, D. E., Siderovski, D. P., & Arshavsky, V. Y. (2011). Integrating energy calculations with functional assays to decipher the specificity of G protein–RGS protein interactions. Nature Structural & Molecular Biology, 18(7), 846–853. https://doi.org/10.1038/nsmb.2068

Cooperative interaction between the DNA-binding domains of PU.1 and IRF4

Journal of Molecular Biology / Jun 01, 1998

Yee, A. A., Yin, P., Siderovski, D. P., Mak, T. W., Litchfield, D. W., & Arrowsmith, C. H. (1998). Cooperative interaction between the DNA-binding domains of PU.1 and IRF4. Journal of Molecular Biology, 279(5), 1075–1083. https://doi.org/10.1006/jmbi.1998.1838

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Ping Luo

Toronto, Ontario, Canada
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Expertise
Structural Biology
Other Research Expertise (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (3+)

23 total publications

Identifying cell types from single-cell data based on similarities and dissimilarities between cells

BMC Bioinformatics / May 01, 2021

Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z

Ensemble disease gene prediction by clinical sample-based networks

BMC Bioinformatics / Mar 01, 2020

Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8

Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Computational and Structural Biotechnology Journal / Jan 01, 2022

Mahalanabis, A., Turinsky, A. L., Husić, M., Christensen, E., Luo, P., Naidas, A., Brudno, M., Pugh, T., Ramani, A. K., & Shooshtari, P. (2022). Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. Computational and Structural Biotechnology Journal, 20, 6375–6387. https://doi.org/10.1016/j.csbj.2022.10.029

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Example Structural Biology projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Structural Biology?

Structure-Based Drug Design

A pharmaceutical company can collaborate with a structural biologist to design new drugs by studying the structure of target molecules and identifying potential binding sites for drug molecules.

Protein Engineering for Industrial Applications

A biotechnology company can work with a structural biologist to engineer proteins with improved properties for industrial applications, such as enzyme engineering for biofuel production.

Understanding Protein-Protein Interactions

A biopharmaceutical company can partner with a structural biologist to study the interactions between proteins involved in disease pathways, aiding in the development of targeted therapies.

Structural Analysis of Viral Proteins

A vaccine development company can collaborate with a structural biologist to determine the three-dimensional structures of viral proteins, facilitating the design of effective vaccines.

Structural Biology in Agriculture

An agricultural company can work with a structural biologist to understand the structure and function of plant proteins, leading to the development of improved crop varieties with enhanced traits.