Q9R1J8 AF NFT

Prolyl 3-hydroxylase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgojjyst2fffgzien7jw3ogptxjkylnit5bcpugdcmxiommi4xre/metadata.json
IPFS of structure file: 
bafybeihalvtyy7heazhw2xu27ptby6wq3guwncsviwphg2amiqzkrrwbey/AF-Q9R1J8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #284623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
284623
Accession (UniProt):
Q9R1J8
Name::
Prolyl 3-hydroxylase 1
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q9R1J8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9R1J8|P3H1_RAT Prolyl 3-hydroxylase 1 OS=Rattus norvegicus OX=10116 GN=P3h1 PE=1 SV=1 MVAVAAAAASRATAESEPEWNVAAPDLLYAEGTAAYARGDWPGVVLNMERALRSRAALRALRLRCRTRCATELPWAPDLDLGPASSLNHDPGAAALHDLRFFGALLRRAACLRRCLGPPSAHLLSEELDLEFNKRSPYNYLQVAYFKINKLEKAVAAAHTFFVGNPEHMEMRQNLDYYQTMSGVKEEDFKDLEAKPHMHEFRLGVRLYSEEKPLEAVPHLEAALQEYFVADEECRALCEGPYDYDGYNYLDYSADLFQAITDHYVQVLSCKQNCVTELASHPSREKPFEDFLPSHYNYLQFAYYNIGNYTQAIECAKTYLLFFPNDEVMSQNLAYYTAVLGEEEASSISPRENAQEYRHRSLLEKELLFFAYDIFGIPFVDPDSWTPEEVIPKRLQEKQKSERETAVRISQEIGNLMKEIETLVEEKTKESLDVSRLTREGGPLLYEGINLTMNSKVLNGSQRVVMDGVISDDECQELQRLTNAAATSGDGYRGQTSPHTPNEKFYGVTVLKALKLGQEGKVPLQSAHMYYNVTEKVRRVMESYFRLDTPLYFSYSHLVCRTAIEESQAERKDSSHPVHVDNCILNAESLVCIKEPPAYTFRDYSAILYLNGDFDGGNFYFTELDAKTVTAEVQPQCGRAVGFSSGTENPHGVKAVTRGQRCAIALWFTLDPRHSERDRVQADDLVKMLFSPEEVDLPQEQPLPDQQGSPKPGEESLSDRESQPKDEL