Q95LF4 AF NFT

Atypical chemokine receptor 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavk7asv5tfn2aoodswarjmqnmkagi5mwvzaoix7neiyqqceypzrq/metadata.json
IPFS of structure file: 
bafybeihqmmr45o3chppbfidxx6hv3uogxue7gdxhzeaicgae75ehxnymw4/AF-Q95LF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #6282 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
6282
Accession (UniProt):
Q95LF4
Name::
Atypical chemokine receptor 1
Experimental Method:
Predicted structure
Sequence source:
Sapajus apella

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 Q95LF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95LF4|ACKR1_SAPAP Atypical chemokine receptor 1 OS=Sapajus apella OX=9515 GN=ACKR1 PE=3 SV=1 MGNCLHQAELSPSTENSSQLNLEDLWDFPYNGNDSFPEINYDASLEAAAPCYSCNLLDDSSLPFFILASVLGILASSTVLFMLFRPLFRWQLCPGWPVLAQLAVGSALFSIVVPILAPGLGNTRSSALCSLGYCVWYGSAFAQALLLGCHASLGPKLGAGQVPGLTLGLTVGLWGAAALLTVPITLASGASDGLCTPIYSTELKALQATHTVACFAIFVLLPLGLFGAKGVKKALGMGPGPWMTILWIWFIFWWPHGVVLGLDFLVRSKLLLLPTCLAQQVLDLLLNLAEALTIVHCVATPLLLALFCHQATRTLLPSLPLPERWSSPVDTLGSKS