Q2QL85 AF NFT

Protein Wnt-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrjrdwv55watcqhzb3uhu3jmoyyuafsa6ekbkmr7cpnfo35wqtza/metadata.json
IPFS of structure file: 
bafybeidjbq53cpztdqgze3opg4fb2yoyzxz4yqnmbd6mqt4hc4awhupws4/AF-Q2QL85-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba02F7A9130b3b08C84f375D73E6d12Cd1791306
First NFT owner address (bech32): 
genesis1hgp002gnpvas3jz0xawh8ek39nghjycxk6qd47
Current NFT ID #500026 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
500026
Accession (UniProt):
Q2QL85
Name::
Protein Wnt-2
Experimental Method:
Predicted structure
Sequence source:
MICROCEBUS MURINUS

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 Q2QL85 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2QL85|WNT2_MICMU Protein Wnt-2 OS=Microcebus murinus OX=30608 GN=WNT2 PE=3 SV=1 MNAPLGGIWLWLPLLLTWLTPEVSSSWWYMRATGGSSRVMCDNVPGLVSRQRQLCHRHPDVMRAISLGVSEWTAECQHQFRQHRWNCNTLDRDHSLFGRVLLRSSRESAFVYAISSAGVVFAITRACSQGELKSCSCDPKKKGTAKDSKGTFDWGGCSDNIDYGIKFARAFVDAKERKGKDARALMNLHNNRAGRKAVKRFLKQECKCHGVSGSCTLRTCWLAMADFRKTGAYLWRKYNGAIQVVMNQDGTGFTVANKRFKKPTKNDLVYFENSPDYCIRDREAGSLGTAGRVCNLTSRGMDSCEVMCCGRGYDTSRVTRMTKCECKFHWCCAVRCQDCLEALDVHTCKAPKNADWATPT