Q95LH1 AF NFT

Chemerin-like receptor 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih27kau23j3ugpycpxzfo2akh4traf2dz3r7qpoy3jstbsdrdewpi/metadata.json
IPFS of structure file: 
bafybeibyb7hhi6wrlgbx2pzngapeerb4pmzdmpmifj6j6qjaixddee3uvi/AF-Q95LH1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9377360E5534e0b32ED177Ed6f54ffBbf020C961
First NFT owner address (bech32): 
genesis1jdmnvrj4xnstxtk3wlkk748lh0czpjtp44s28e
Current NFT ID #67711 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
67711
Accession (UniProt):
Q95LH1
Name::
Chemerin-like receptor 2
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q95LH1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95LH1|CML2_MACFA Chemerin-like receptor 2 OS=Macaca fascicularis OX=9541 GN=CMKLR2 PE=2 SV=1 MEDLEETLFEEFENYSYALDYYSLESDLEEKVQLGVVHWVSLVLYCLSFVLGIPGNAIVIWFTGFKWKRTVSTLWFLNLAIADFIFLLFLPLYISYVVMNFHWPFGIWLCKANSFTAQLNMFASVFFLTVISLDHYIHLIHPVLSHRHRTLKNSLIVIIFIWLLASLIGGPALYFRDTVEFNNHTLCYNNFQKHDPDLTVIRHHVLTWVKYIVGYLFPLLTMSICYLCLILKVKKRSILISSRHFWTILAVVVAFVVCWTPYHLFSIWELTIHHNSYSHHVMQAGIPLSTGLAFLNSCLNPILYVLISKKFQARFRSSVAEILKYTLWEVSCSGTVSEQLRNSETKNLCLLETAQ