Q5R9Z1 AF NFT

Vacuolar protein sorting-associated protein 29

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxggsdn7pvkyyunvvyrvya7tbyvglh5dxocnq4wdgwhsmiljgqji/metadata.json
IPFS of structure file: 
bafybeicmo2m6t7qf62nrhajqbsicyix3qw552w4hfdrgtjmuu3lajvgx3y/AF-Q5R9Z1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3CfADCfFEABDd4A50940a7AC50c58466c2A37Aab
First NFT owner address (bech32): 
genesis18nadell2hh222z2q57k9p3vyvmp2x74tse2j88
Current NFT ID #497978 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497978
Accession (UniProt):
Q5R9Z1
Name::
Vacuolar protein sorting-associated protein 29
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R9Z1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R9Z1|VPS29_PONAB Vacuolar protein sorting-associated protein 29 OS=Pongo abelii OX=9601 GN=VPS29 PE=2 SV=1 MLVLVLGDLHIPHRCNSLPAKFKKLLVPGKIQHILCTGNLCTKESYDYLKTLAGDVHIVRGDFDENLNYPEQKVVTVGQFKIGLIHGHQVIPWGDMASLALLQRQFDVDILISGHTHKFEAFEHENKFYINPGSATGAYNALEANIIPSFVLMDIQASTVVTYVYQLIGDDVKVERIEYKKS