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.

Experts on NotedSource with backgrounds in structural biology include Aimee Eggler, Ammon Posey, Jeffrey Townsend, basanti deopura, Ping Luo, Emily Owens, Sumeet K. Tiwari, Asst. Prof. Eng. Davide Verzotto, Ph.D., Jonathan Moore, David Studholme, Nitin Pandey, Dr. Susanne Ressl, and Matheus Ferraz.

Ping Luo

Postdoctoral Researcher at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Structural Biology
Other Research Interests (24)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 19 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

Sumeet K. Tiwari

Bioinformatic researcher at Quadram Institute Bioscience
Most Relevant Research Interests
Structural Biology
Other Research Interests (20)
Bioinformatics
Microbiology (medical)
Microbiology
Virology
Infectious Diseases
And 15 more
About
I'm an experienced bioinformatician with experience in analysing OMIC data (Meta-Genomics, RNASeq and Genomics).
Most Relevant Publications (1+)

16 total publications

Genome-wide association reveals host-specific genomic traits in Escherichia coli

BMC Biology / Apr 11, 2023

Tiwari, S. K., van der Putten, B. C. L., Fuchs, T. M., Vinh, T. N., Bootsma, M., Oldenkamp, R., La Ragione, R., Matamoros, S., Hoa, N. T., Berens, C., Leng, J., Álvarez, J., Ferrandis-Vila, M., Ritchie, J. M., Fruth, A., Schwarz, S., Domínguez, L., Ugarte-Ruiz, M., Bethe, A., … Schultsz, C. (2023). Genome-wide association reveals host-specific genomic traits in Escherichia coli. BMC Biology, 21(1). https://doi.org/10.1186/s12915-023-01562-w

Asst. Prof. Eng. Davide Verzotto, Ph.D.

Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome
Most Relevant Research Interests
Structural Biology
Other Research Interests (20)
Algorithms & Data Structures
Bioinformatics & Computational Biology
Machine Learning
Scalable
Multidisciplinary
And 15 more
About
Algorithms & Information Intelligence, Pattern Discovery Bioinformatics & Computational Biology/Genomics Scalable Data Mining & Machine Learning
Most Relevant Publications (3+)

40 total publications

Alignment-free phylogeny of whole genomes using underlying subwords

Algorithms for Molecular Biology / Dec 01, 2012

Comin, M., & Verzotto, D. (2012). Alignment-free phylogeny of whole genomes using underlying subwords. Algorithms for Molecular Biology, 7(1). https://doi.org/10.1186/1748-7188-7-34

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Jonathan Moore

Genome edit designer
Most Relevant Research Interests
Structural Biology
Other Research Interests (55)
Data science
Genome editing
Bioinformatics
Evolution
Biodiversity
And 50 more
Most Relevant Publications (2+)

72 total publications

MCMC-ODPR: Primer design optimization using Markov Chain Monte Carlo sampling

BMC Bioinformatics / Nov 05, 2012

Kitchen, J. L., Moore, J. D., Palmer, S. A., & Allaby, R. G. (2012). MCMC-ODPR: Primer design optimization using Markov Chain Monte Carlo sampling. BMC Bioinformatics, 13(1). https://doi.org/10.1186/1471-2105-13-287

CWRML: representing crop wild relative conservation and use data in XML

BMC Bioinformatics / Feb 25, 2008

Moore, J. D., Kell, S. P., Iriondo, J. M., Ford-Lloyd, B. V., & Maxted, N. (2008). CWRML: representing crop wild relative conservation and use data in XML. BMC Bioinformatics, 9(1). https://doi.org/10.1186/1471-2105-9-116

David Studholme

Senior Lecturer / Associate Professor at University of Exeter
Most Relevant Research Interests
Structural Biology
Other Research Interests (55)
Genetics
Multidisciplinary
Molecular Biology
Molecular Medicine
Microbiology
And 50 more
Most Relevant Publications (3+)

190 total publications

Assessing the performance of the Oxford Nanopore Technologies MinION

Biomolecular Detection and Quantification / Mar 01, 2015

Laver, T., Harrison, J., O’Neill, P. A., Moore, K., Farbos, A., Paszkiewicz, K., & Studholme, D. J. (2015). Assessing the performance of the Oxford Nanopore Technologies MinION. Biomolecular Detection and Quantification, 3, 1–8. https://doi.org/10.1016/j.bdq.2015.02.001

Mechanism of Action of the Escherichia coli Phage Shock Protein PspA in Repression of the AAA Family Transcription Factor PspF

Journal of Molecular Biology / Jun 01, 2002

Elderkin, S., Jones, S., Schumacher, J., Studholme, D., & Buck, M. (2002). Mechanism of Action of the Escherichia coli Phage Shock Protein PspA in Repression of the AAA Family Transcription Factor PspF. Journal of Molecular Biology, 320(1), 23–37. https://doi.org/10.1016/s0022-2836(02)00404-7

Finding sRNA generative locales from high-throughput sequencing data with NiBLS

BMC Bioinformatics / Feb 18, 2010

MacLean, D., Moulton, V., & Studholme, D. J. (2010). Finding sRNA generative locales from high-throughput sequencing data with NiBLS. BMC Bioinformatics, 11(1). https://doi.org/10.1186/1471-2105-11-93

Nitin Pandey

Assistant Professor of Physiology and Neuroscience, University of Southern California
Most Relevant Research Interests
Structural Biology
Other Research Interests (31)
Protein misfolding
Neurodegeneration
Surfaces, Coatings and Films
Physical and Theoretical Chemistry
Materials Chemistry
And 26 more
Most Relevant Publications (11+)

27 total publications

(−)-Epicatechin gallate prevents alkali-salt mediated fibrillogenesis of hen egg white lysozyme

International Journal of Biological Macromolecules / Mar 01, 2013

Ghosh, S., Pandey, N. K., & Dasgupta, S. (2013). (−)-Epicatechin gallate prevents alkali-salt mediated fibrillogenesis of hen egg white lysozyme. International Journal of Biological Macromolecules, 54, 90–98. https://doi.org/10.1016/j.ijbiomac.2012.11.031

Fructose restrains fibrillogenesis in human serum albumin

International Journal of Biological Macromolecules / Oct 01, 2013

Pandey, N. K., Ghosh, S., & Dasgupta, S. (2013). Fructose restrains fibrillogenesis in human serum albumin. International Journal of Biological Macromolecules, 61, 424–432. https://doi.org/10.1016/j.ijbiomac.2013.08.006

Effect of surfactants on preformed fibrils of human serum albumin

International Journal of Biological Macromolecules / Aug 01, 2013

Pandey, N. K., Ghosh, S., & Dasgupta, S. (2013). Effect of surfactants on preformed fibrils of human serum albumin. International Journal of Biological Macromolecules, 59, 39–45. https://doi.org/10.1016/j.ijbiomac.2013.04.014

Effect of (−)-epigallocatechin gallate on the fibrillation of human serum albumin

International Journal of Biological Macromolecules / Sep 01, 2014

Bhattacharya, S., Pandey, N. K., Roy, A., & Dasgupta, S. (2014). Effect of (−)-epigallocatechin gallate on the fibrillation of human serum albumin. International Journal of Biological Macromolecules, 70, 312–319. https://doi.org/10.1016/j.ijbiomac.2014.07.003

Copper(II) directs formation of toxic amorphous aggregates resulting in inhibition of hen egg white lysozyme fibrillation under alkaline salt-mediated conditions

Journal of Biomolecular Structure and Dynamics / May 28, 2014

Ghosh, S., Pandey, N. K., Banerjee, P., Chaudhury, K., Nagy, N. V., & Dasgupta, S. (2014). Copper(II) directs formation of toxic amorphous aggregates resulting in inhibition of hen egg white lysozyme fibrillation under alkaline salt-mediated conditions. Journal of Biomolecular Structure and Dynamics, 33(5), 991–1007. https://doi.org/10.1080/07391102.2014.921864

Fibrillation of hen egg white lysozyme triggers reduction of copper(II)

International Journal of Biological Macromolecules / Jul 01, 2012

Ghosh, S., Pandey, N. K., Bhattacharya, S., Roy, A., & Dasgupta, S. (2012). Fibrillation of hen egg white lysozyme triggers reduction of copper(II). International Journal of Biological Macromolecules, 51(1–2), 1–6. https://doi.org/10.1016/j.ijbiomac.2012.04.024

Structure of Membrane-Bound Huntingtin Exon 1 Reveals Membrane Interaction and Aggregation Mechanisms

Structure / Oct 01, 2019

Tao, M., Pandey, N. K., Barnes, R., Han, S., & Langen, R. (2019). Structure of Membrane-Bound Huntingtin Exon 1 Reveals Membrane Interaction and Aggregation Mechanisms. Structure, 27(10), 1570-1580.e4. https://doi.org/10.1016/j.str.2019.08.003

Fibrillation of human serum albumin shows nonspecific coordination on stoichiometric increment of Copper(II)

Journal of Biomolecular Structure and Dynamics / Jul 22, 2013

Pandey, N. K., Ghosh, S., Nagy, N. V., & Dasgupta, S. (2013). Fibrillation of human serum albumin shows nonspecific coordination on stoichiometric increment of Copper(II). Journal of Biomolecular Structure and Dynamics, 32(9), 1366–1378. https://doi.org/10.1080/07391102.2013.819300

Evidence of two oxidation states of copper during aggregation of hen egg white lysozyme (HEWL)

International Journal of Biological Macromolecules / May 01, 2015

Ghosh, S., Pandey, N. K., Bhattacharya, S., Roy, A., Nagy, N. V., & Dasgupta, S. (2015). Evidence of two oxidation states of copper during aggregation of hen egg white lysozyme (HEWL). International Journal of Biological Macromolecules, 76, 1–9. https://doi.org/10.1016/j.ijbiomac.2015.02.014

Effect of Temperature and Solvent on Fibrillation of Human Serum Albumin

Protein & Peptide Letters / Jan 28, 2015

Pandey, N., Ghosh, S., Tripathy, D., & Dasgupta, S. (2015). Effect of Temperature and Solvent on Fibrillation of Human Serum Albumin. Protein & Peptide Letters, 22(2), 112–118. https://doi.org/10.2174/0929866521666140320104409

An insight into the ribonucleolytic and antiangiogenic activity of buffalo lactoferrin

Journal of Biomolecular Structure and Dynamics / Dec 10, 2013

Tripathy, D. R., Pandey, N. K., Dinda, A. K., Ghosh, S., Singha Roy, A., & Dasgupta, S. (2013). An insight into the ribonucleolytic and antiangiogenic activity of buffalo lactoferrin. Journal of Biomolecular Structure and Dynamics, 33(1), 184–195. https://doi.org/10.1080/07391102.2013.865564

Matheus Ferraz

PhD in computational chemistry, bioinformatician with experience in industry
Most Relevant Research Interests
Structural Biology
Other Research Interests (31)
Computational Chemistry
Protein Design
Machine Learning
Virology
Microbiology
And 26 more
Most Relevant Publications (1+)

17 total publications

Identification of potential Staphylococcus aureus dihydrofolate reductase inhibitors using QSAR, molecular docking, dynamics simulations and free energy calculation

Journal of Biomolecular Structure and Dynamics / Mar 31, 2022

Matos, I. de A., Goes Pinto, A. C., Ferraz, M. V. F., Adan, W. C. S., Rodrigues, R. P., dos Santos, J. X., Kitagawa, R. R., Lins, R. D., Oliveira, T. B., & Costa Junior, N. B. da. (2022). Identification of potential Staphylococcus aureus dihydrofolate reductase inhibitors using QSAR, molecular docking, dynamics simulations and free energy calculation. Journal of Biomolecular Structure and Dynamics, 41(9), 3835–3846. https://doi.org/10.1080/07391102.2022.2057361

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.