In Silico Classification and Prediction of VIP Derivatives as VPAC1/ VPAC2 Receptor Agonists/Antagonists

Publisher: Bentham Science Publishers

E-ISSN: 1875-5402|18|1|33-41

ISSN: 1386-2073

Source: Combinatorial Chemistry & High Throughput Screening, Vol.18, Iss.1, 2015-01, pp. : 33-41

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Abstract