| Target identification and modeling |
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Major bottleneck to develop innovative treatments for human diseases is the lack of new "drugable" protein targets. Most new drugs interact with the same protein targets as the old equivalents, so the progress in diseases treatment is slower than expected. Thus, structures of new drug targets are needed to guide drug discovery and therefore to develop new, even breakthrough, methods of therapy.
Thanks to international effort of genome sequencing projects, last years brought massive amount of new amino acid sequences. Although experimental methods for determining protein structure are providing new structures, they cannot keep the pace at which sequences are resolved. For a large fraction of proteins whose structures will not be determined experimentally, computational methods can provide valuable information. Protein modeling in silico is a strong competency at Selvita. Our development team has extensive experience in protein modeling, structure prediction and mining of protein structure and sequence data on genomic scale. The full scope and high interoperability of our protein modeling tools makes Selvita unique among collaboration partners in the field. We have implemented an unique protein modeling technology Our innovative, comparative modeling strategies enable determination of high quality structures as well as protein fold recognition in more difficult cases, when standard sequence search methods have failed. Selvita Protein Modeling technology features:
Protein structure prediction: a tool for pharma industry
Protein modeling technologies are being successfully used in several stages of modern drug discovery: target identification and validation, lead identification and lead optimization.
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Protein modeling technologies are being successfully used in several stages of modern drug discovery: target identification and validation, lead identification and lead optimization.