Following the Human<unk>  Project, scientists needed to know the biological and medical implications of the resulting wealth of genetic information.<unk>  used spare processing power on personal computers to virtually design genes that match existing proteins, although it can also design new proteins that have not been found in nature. This process is computationally demanding, so distributed computing is a viable option. Researchers can use the results from the project to gain a better understanding of the evolution of natural<unk> s and proteins, and their functionality. This project had applications in medical therapy, new pharmaceuticals, and assigning functions to newly sequenced genes.<unk>  directly studied<unk> s and proteins by virtually designing new sequences for existing 3-D protein structures, which other scientists obtained through X-ray crystallography or NMR techniques. By understanding the relationship between the sequences and specific protein structures, the Pande lab tackled contemporary issues in structural biology, genetics, and medicine. Specifically, the<unk>  project aided the understanding of why thousands of different amino acid sequences all form the same structures and assisted the fields of proteomics and Structural<unk> cs by predicting the functions of newly discovered genes and proteins. It also had implications in medical therapy by designing and virtually creating new versions of existing proteins.<unk> 's software was designed for uniprocessor systems. It begins with a large set of potential sequences, and repeatedly searches through and refines these sequences until a well-designed sequence is found. It then sends this sequence to the server, and repeats the process.
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