Q2QL96 AF NFT

Protein Wnt-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnrdw7hsrjxz437qwy4xagp3gubrc4rmweuqot3ev6lxqc5erezu/metadata.json
IPFS of structure file: 
bafybeigtunalzueg26q76mzj2nzdbkybc6f26gyf5v3tzjiadqsvai2iiu/AF-Q2QL96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #500027 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
500027
Accession (UniProt):
Q2QL96
Name::
Protein Wnt-2
Experimental Method:
Predicted structure
Sequence source:
MONODELPHIS DOMESTICA

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 Q2QL96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2QL96|WNT2_MONDO Protein Wnt-2 OS=Monodelphis domestica OX=13616 GN=WNT2 PE=3 SV=1 MNSSSLFGIWLSVPLILSWVTPQVSSSWWYMRAVGSSRVMCDNVPGLVSRQRQLCHRHPEVMRSIGLGVAEWTAECQHQFRQHRWNCHTLDRDHNLFGKVLLRSSREAAFVYAISSAGVVFAITRACSQGELKSCSCDPKKKGTSKDSKGTFDWGGCSDNIDYGIKFARAFVDAKERKGKDARALMNLHNNRAGRKAVKRFLKQECKCHGVSGSCTLRTCWLAMADFRKTGDYLWKKYNGAIQVVMNQDGTGFTVANKRFKKPTKNDLVYFENSPDYCIRDRDAGSLGTAGRVCNLTSRGMDSCEVMCCGRGYDTSRVTRMTKCECKFHWCCAVRCQDCLEVVDVHTCKAPKSPDWVAPT