Q9TT13 AF NFT

Voltage-dependent anion-selective channel protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigepbn62bevfast4o65mdqxwxux6q4gmkt557lppgl6xkxhgu3pcq/metadata.json
IPFS of structure file: 
bafybeigp3yfxs5pfy4tndgnmu36npptn7dgubzsxw7scidzzvm3cwxxkoq/AF-Q9TT13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #495953 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
495953
Accession (UniProt):
Q9TT13
Name::
Voltage-dependent anion-selective channel protein 3
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q9TT13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9TT13|VDAC3_RABIT Voltage-dependent anion-selective channel protein 3 OS=Oryctolagus cuniculus OX=9986 GN=VDAC3 PE=2 SV=1 MCNTPTYCDLGKAAKDVFNKGYGFGMVKIDLRTKSCSGVEFSTSGHAYTDTGKASGNLETKYKVCNYGLTFTQKWNTDNTLGTEISLENKLAEGLKLTLDTIFVPNTGKKSGKLKASYKRDCFSLGSNVDIDFSGPTIYGWAVLAFEGWLAGYQMSFDTAKSKLSQNNFALGYKAADFQLHTHVNDGTEFGGSIYQKVNEKIETSINLAWTAGSNNTRFGIAAKYKLDCRTSLSAKVNNASLIGLGYTQTLRPGVKLTLSALIDGKNFNAGGHKVGLGFELEA