HLAMatchmaker is a computer algorithm to determine structurally based HLA compatibility and to identify acceptable HLA mismatches for highly sensitized patients. Such patients might be candidates for an organ transplant or in need of HLA matched platelet transfusions  

What is Structurally Based HLA Matching? * Click here 

More About Epitope Structure    * Click here

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Publications: Clicking on this icon will take you to the webpage of HLAMatchmaker related publications from the University of Pittsburgh Medical Center and other institutions.  These papers can be read as PDF documents or linked to URL addresses

 

Downloads:  All HLAMatchmaker programs can be downloaded free of charge. Downloading the programs requires a login and you need to register first. A confirming e-mail shows that you login has been activated   For more details  *  Click here

 

NEW!  Presentations: This section has downloadable powerpoint slides and posters of HLAMatchmaker-related presentations at scientific meetings

 

Contact Us: On this webpage you can send a message with questions and suggestions about HLAMatchmaker and other issues of structurally based histocompatibility

 

FAQs: This icon will direct you to the webpage with an emerging list of Questions & Answers about HLAMatchmaker related issues

 

News: This section still under development describes new issues about structurally based HLA matching   

 

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For more information please contact:

Rene J Duquesnoy, Ph.D.
Professor of Pathology, Immunology and Surgery
University of Pittsburgh Medical Center
Thomas E. Starzl Biomedical Science Tower, Room W1552
Pittsburgh, PA, 15261, USA.   
Phone:  ++1-412-647-6148 or ++1-412-624-1075.   
Mobile phone: ++1-412-860-8083    
Fax:  ++1-412-647-1755         
E-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it

Acknowledgements:  I want to thank my son Rene P. Duquesnoy (Chicago, IL) link for setting up this website and his patience explaining me how to manage it.   My HLAMatchmaker research projects are supported by grant RO1-AI-55933 from the National Institutes of Health