Q7PSY2 AF NFT

UPF0729 protein AGAP000931

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwzq6n2u5ll627iyipu34in4lsax5rt33mp63kuj23bf5ykyyfne/metadata.json
IPFS of structure file: 
bafybeicmtsdeihimv2fvigp6ibazgbgxsaokakzcmgcy4sudwmxhgdel44/AF-Q7PSY2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1FAc32053AD31e4335B7e89aA3A18fa19E24DFeF
First NFT owner address (bech32): 
genesis1r7krypf66v0yxddhazd28gv05x0zfhl03n98j5
Current NFT ID #484916 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
484916
Accession (UniProt):
Q7PSY2
Name::
UPF0729 protein AGAP000931
Experimental Method:
Predicted structure
Sequence source:
ANOPHELES GAMBIAE

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 Q7PSY2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7PSY2|U729_ANOGA UPF0729 protein AGAP000931 OS=Anopheles gambiae OX=7165 GN=AGAP000931 PE=3 SV=2 MVCVPCFIVPVLLYLWHKFVQPILLKYWNPWEKKDADGNMIKTEPKNPFDCAGGVCRWAGKKTAVPPGHDPVGPTVAADTATSDAVDDAASSKKTL