P97765 AF NFT

WW domain-binding protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieyklfynvbfkxun5zzrd7hynmz4ybmcidhtzky24yrspr2uruqzqi/metadata.json
IPFS of structure file: 
bafybeigsoze3ydk3i72x22rot57mt2n2bwiovtclmiiu3rk7fyopbi4rce/AF-P97765-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb08BD8EEBA81B2359dcA82AB1Dd8761EEe36263F
First NFT owner address (bech32): 
genesis1kz9a3m46sxert8w2s243mkrkrmhrvf3lp0njjj
Current NFT ID #498948 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498948
Accession (UniProt):
P97765
Name::
WW domain-binding protein 2
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 P97765 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97765|WBP2_MOUSE WW domain-binding protein 2 OS=Mus musculus OX=10090 GN=Wbp2 PE=1 SV=1 MALNKNHSEGGGVIVNNTESILMSYDHVELTFNDMKNVPEAFKGTKKGTVYLTPYRVIFLSKGKDAMQSFMMPFYLMKDCEIKQPVFGANFIKGIVKAEAGGGWEGSASYKLTFTAGGAIEFGQRMLQVASQASRGEVPNGAYGYPYMPSGAYVFPPPVANGMYPCPPGYPYPPPPPEFYPGPPMMDGAMGYVQPPPPPYPGPMEPPVSGPSAPATPAAEAKAAEAAASAYYNPGNPHNVYMPTSQPPPPPYYPPEDKKTQ