Q7M6Z0 AF NFT

Reticulon-4 receptor-like 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigiy6i5ofashmz5zjx6kqobje4aft2n2w3k6bxadlpgha6rzv4y4i/metadata.json
IPFS of structure file: 
bafybeiakbx6kp72rgqlu6h2yv3zu4zhsphhrogttgnois2eoqaq4xlmc7e/AF-Q7M6Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #331361 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331361
Accession (UniProt):
Q7M6Z0
Name::
Reticulon-4 receptor-like 2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q7M6Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7M6Z0|R4RL2_MOUSE Reticulon-4 receptor-like 2 OS=Mus musculus OX=10090 GN=Rtn4rl2 PE=1 SV=1 MLPGLRRLLQGPASACLLLTLLALPSVTPSCPMLCTCYSSPPTVSCQANNFSSVPLSLPPSTQRLFLQNNLIRSLRPGTFGPNLLTLWLFSNNLSTIHPGTFRHLQALEELDLGDNRHLRSLEPDTFQGLERLQSLHLYRCQLSSLPGNIFRGLVSLQYLYLQENSLLHLQDDLFADLANLSHLFLHGNRLRLLTEHVFRGLGSLDRLLLHGNRLQGVHRAAFHGLSRLTILYLFNNSLASLPGEALADLPALEFLRLNANPWACDCRARPLWAWFQRARVSSSDVTCATPPERQGRDLRALRDSDFQACPPPTPTRPGSRARGNSSSNHLYGVAEAGAPPADPSTLYRDLPAEDSRGRQGGDAPTEDDYWGGYGGEDQRGEQTCPGAACQAPADSRGPALSAGLRTPLLCLLPLALHHL