Structural Biology Drug Discovery Shared Resource

Overview of Services

The Structural Biology Drug Discovery Shared Resource serves as a portal for access to state-of-the-art X-ray crystallographic equipment, technical support, high-performance computing, and scientific consultation for Cancer Center researchers. The Shared Resource exists to meet the growing needs for structure determination and computational analysis of protein and DNA/RNA structure, function, and dynamics for a diverse array of projects ranging from basic science questions to drug design.

The Structural Biology team has expertise in macromolecular crystallography and works with investigators on all levels of structure determination. 

• Consulting on all aspects of protein expression, purification, and feasibility of structure determination.

• Identification of crystallization conditions and possible other existing structures.

• Access to X-ray diffraction facility.

• Determination of the molecular structure through collaboration.

Our Computational Bioscience expertise lies primarily in structure-based classical modeling, docking and analysis, but additional expertise exists in computational biology/bioinformatics, and in quantum mechanical calculations.

• Consultation to determine if the problem is amenable to computation. 

• Decide what sort of computations need to be performed.

• Calculations that we can readily perform include molecular dynamics, protein-protein docking, and protein-ligand docking. Quantum mechanical calculations and other mathematical modeling may be possible.

Leaders

Todd Lowther, PhD
Co-Director
Professor, Biochemistry

Tom Hollis, PhD
Co-Director
Professor, Biochemisty

Freddie R. Salsbury Jr., PhD
Co-Director
Professor, Physics (WFU)

Location and hours of operation

Links and Resources

1. Crystallography and Computational Biosciences Official page
2. Center for Structural Biology

Citation Resources

Cite the P30 CCSG

The authors wish to acknowledge the support of the Wake Forest Baptist Crystallography and Computational Biosciences Shared Resource, supported by the National Cancer Institute’s Cancer Center Support Grant award number P30CA012197. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

NIHMS Guidelines for Authors

Authors should also make sure that all publications are processed by the National Institutes of Health Manuscript Submission (NIHMS) to obtain a PubMed Central reference number (PMCID), per NIH guidelines.

External Funding Application “Facility” Description

Review the facility description of this Shared Resource on pages 2-5 of the  AHWFCCC boilerplate. 

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Contacts