O97772 AF NFT

Cholecystokinin receptor type A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiees3n2jbad6byst6fyxu4ejls6rz3bpr4yov3n4yqrqp4cflpp4e/metadata.json
IPFS of structure file: 
bafybeigfnd7eolcv23osxaq6m5ynu53idbrikdwgkqcrz5qdx6i76plrwm/AF-O97772-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEcFdC9Af6f95741e8FeAA0c9b6c43976C0126196
First NFT owner address (bech32): 
genesis1an7untm0j46parl25rymd3pewmqpycvkuz5n43
Current NFT ID #54635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
54635
Accession (UniProt):
O97772
Name::
Cholecystokinin receptor type A
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT O97772 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O97772|CCKAR_RABIT Cholecystokinin receptor type A OS=Oryctolagus cuniculus OX=9986 GN=CCKAR PE=2 SV=1 MDAVASLLGNASGIPPPCELGLDNETLFCLDQPPPSKEWQPAVQILLYSLIFLLSVLGNTLVITVLIRNKRMRTVTNIFLLSLAISDLMLCLFCMPFNLIPNLLKDFIFGSALCKTTTYLMGTSVSVSTLNLVAISLERYGAICKPLQSRVWQTKSHALKVIAATWCLSFAIMTPYPIYSNLVPFTKTNNQTANMCRFLLPSDVMQQAWHTFLLLILFLIPGIVMMVAYGMISLELYQGIKFDASQKKSAKERKASTGSGRFEDNDGCYLQRSKPTRQLELQQLSGGGGGRVSRIRSSSSAATLMAKKRVIRMLMVIVVLFFLCWMPIFSANAWRAYDTVSAERRLSGTPISFILLLSYTSSCVNPIIYCFMNRRFRLGFMATFPCCPNPGPPGPRAEAGEEEEGRTTRASLSRYSYSHMSASAPPS