Q9EP93 AF NFT

Vomeronasal type-1 receptor 53

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqixm5wggvvjgcmopmdsmkirmw65ur7a7pc5opkdl4fwl6hgzm6q/metadata.json
IPFS of structure file: 
bafybeickxceg6lmlt5epvfcmpw4ws5tn6lr4oc5ekc4642b5zqnlyqfdea/AF-Q9EP93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf7FB783782B285Db3199EbD0D87C7bB413D7D508
First NFT owner address (bech32): 
genesis17lahsduzk2zakvvea0gdslrmksfa04gg6nspdr
Current NFT ID #494569 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494569
Accession (UniProt):
Q9EP93
Name::
Vomeronasal type-1 receptor 53
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 Q9EP93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9EP93|V1R53_MOUSE Vomeronasal type-1 receptor 53 OS=Mus musculus OX=10090 GN=Vmn1r53 PE=2 SV=1 MNKANLLHTDINLKITLFSEVSVGISANSILIFAHLCMLLGENRPKPIDLYIAFFSLTQLMLLITMGLIAVDMFMPWGRWDSTTCQSLIYLHRLLRGLTLSATCLLNVLWTITLSPRSSCLTKFKHKSLQHISCAFLFLCVLYMSFNSHLFISIIAYPNLTLENFMYVTQSCSLIPLSYFRKSMFSIPMAIREALLIGLMALSGGYMVAHLWRHKKQAQHLHRTSLSSKASPEQRATRTIMLLMSFFVVLYILDLVIFHSRMKFKDGSILYGVQIIVSHSYATVSPFVFICTEKRITNFLRSMCGRIVNI