Q5RAN0 AF NFT

Serine/threonine-protein kinase receptor R3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibouwmacrcnlz5qqynmowvuqdqejuw76zohxnlbev44gduy42qqmq/metadata.json
IPFS of structure file: 
bafybeibfzudd43dj7ehevokwkfiot6tgvw342bs2zp3cfqdn5xmgnj6kni/AF-Q5RAN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2b47CE81494c5321B3929F4cE4EA361c06Eba2E2
First NFT owner address (bech32): 
genesis19druaq2ff3fjrvujnaxwf63krsrwhghzdfaxft
Current NFT ID #8788 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
8788
Accession (UniProt):
Q5RAN0
Name::
Serine/threonine-protein kinase receptor R3
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RAN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RAN0|ACVL1_PONAB Serine/threonine-protein kinase receptor R3 OS=Pongo abelii OX=9601 GN=ACVRL1 PE=2 SV=1 MTLGSPRRGLLMLLMALVTQGDPVKPSRGPLVTCTCESPHCRGPTCRGAWCTVVLVREEGRHPQEHRGCGNLHRELCRGRPTEFVNHYCCDSHLCNHNVSLVLEATQSPSEQPGTDGQLALILGPVLALLALVALGVLGLWHVRRRQEKQRGLHSELGESSLILKASEQGDSMLGDLLDSDCTTGSGSGLPFLVQRTVARQVALVECVGKGRYGEVWRGLWHGESVAVKIFSSRDEQSWFRETEIYNTVLLRHDNILGFIASDMTSRNSSTQLWLITHYHEHGSLYDFLQRQTLEPHLALRLTVSAACGLAHLHVEIFGTQGKPAIAHRDFKSRNVLVKSNLQCCIADLGLAVMHSQGSDYLDIGNNPRVGTKRYMAPEVLDEQIRTDCFESYKWTDIWAFGLVLWEIARRTIVNGIVEDYRPPFYDVVPNDPSFEDMKKVVCVDQQTPTIPNRLAADPVLSGLAQMMRECWYPNPSARLTALRIKKTLQKISNSPEKPKVIQ