Q9S8P4 AF NFT

Rhicadhesin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihozt6kqfgtchcfummroxxjgly45igwwtetcpghwwr65vde434y74/metadata.json
IPFS of structure file: 
bafybeigiugdai4ddtecs2xsqkh6sloqaaivilylmillrgpr73qeu6eji7e/AF-Q9S8P4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa13B98679bfC35227A43337E7Ca558F949C4B5e4
First NFT owner address (bech32): 
genesis15yaeseumls6jy7jrxdl8ef2cl9yufd0ytwsgse
Current NFT ID #343032 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
343032
Accession (UniProt):
Q9S8P4
Name::
Rhicadhesin receptor
Experimental Method:
Predicted structure
Sequence source:
PISUM SATIVUM

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 Q9S8P4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9S8P4|RHRE_PEA Rhicadhesin receptor OS=Pisum sativum OX=3888 GN=GER1 PE=1 SV=2 MKLIAVLLLVVLATATTATAADADALQDLCVADYASVILVNGFACKPASNVTAEDFFSNLLVKQGATNNTFGSLVTGANVQRIPGLNTLGVSMARIDYAPGGLNPPHTHPRATEMVFVLEGQLDVGFITTTNQLIAKTIAKGETFVFPKGLVHFQKNNGWEPATVIAGFNSQLPGTVNIPLTLFNATPPVPDNVLTKAFQIGTKEVQKIKSKFAPKK