Q4ZHS0 AF NFT

Guanylate cyclase soluble subunit alpha-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6dl3rz47kl6aq2c3dt46wapuq4rtkckhgy7bcfm22covviv4rcq/metadata.json
IPFS of structure file: 
bafybeiaxwezre5z45btd4md6m32i5yqcczyt2bhmf7qkby5eloye2a35ou/AF-Q4ZHS0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e17C80A3064A18cE97C3a90e5C69D9a222F548e
First NFT owner address (bech32): 
genesis1tctusz3svjsce6tu82gwt35ang3z74ywa9z6gx
Current NFT ID #145795 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
145795
Accession (UniProt):
Q4ZHS0
Name::
Guanylate cyclase soluble subunit alpha-1
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 Q4ZHS0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4ZHS0|GCYA1_CANLF Guanylate cyclase soluble subunit alpha-1 OS=Canis lupus familiaris OX=9615 GN=GUCY1A1 PE=2 SV=1 MFCTKLKDLKITGECPLSLLAPGQVPKEPGEEVAGTSESGKATLPICQDVPEKNVQRSLPQRKTSRSRVYLHTLAESICKLIFPELERLNLALQRTLAKHKIKESRKSLEREDLEKIITDQAIAAGVPVEIVKESLGEELFKICYEEDEHILGVVGGTLKDFLNSFSTLLKQSSHCQEAEKRGRFEDASILCLDKDHDFLNVYYFFPKRITSLILPGIIKAAAHILYETEVEVSLLPPCFRNDCSEFVNQPYLLYSLHVKSTKPSLSPGKPQSSLVIPASLFCKTFPFHFMFDKDMTILQFGNGIRRLMNRRDFQGKPHFEEYFEVLTPKINQTFSGIMTMLNMQFVVRVRRWDNSVKKSSRVMDLKGQMIYIVESSAILFLGSPCVDRLEDFTGRGLYLSDIPIHNALRDVVLIGEQARAQDGLKKRLGKLKATLEQAHQALEEEKKKTVDLLCSIFPSEVAQQLWQGQVVQAKKFSNVTMLFSDIVGFTAICSQCSPLQVITMLNALYTRFDQQCGELDVYKVETIGDAYCVAGGLHKESDTHAAQIALMALKMMELSDEVMSPHGEPIKMRIGLHSGSVFAGVVGVKMPRYCLFGNNVTLANKFESCSIPRKINVSPTTYRLLKDCPGFVFTPRSREELPPNFPSEIPGICHFLEAYEPATNSKPWFQKKDVEDGNANFLGKASGID