Q54IF7 AF NFT

Vacuolar protein sorting-associated protein 29

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickq552aqp7vqju3ccptayiskes76f44xthvin644hn7d7peqfioa/metadata.json
IPFS of structure file: 
bafybeid3vlrxbwu54xr7fec3b45gwiz3huuv5w3rm6ptjbu25eysqfedma/AF-Q54IF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD28dBF051Fa42188710bD32965c7B1a5507E41f2
First NFT owner address (bech32): 
genesis162xm7pgl5sscsugt6v5kt3a354g8us0jf44p28
Current NFT ID #497975 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497975
Accession (UniProt):
Q54IF7
Name::
Vacuolar protein sorting-associated protein 29
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54IF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54IF7|VPS29_DICDI Vacuolar protein sorting-associated protein 29 OS=Dictyostelium discoideum OX=44689 GN=vps29 PE=3 SV=1 MFIIAIGDVHVPHRSYGIPPEFKKLLVPEKIQHILCTGNLVSKEIHDYFKVLTSDVHIVRGDLDENTSYPDTKIVSIGQFKFGLCHGHQIVPWGDRASLAALQRQLDVDVLISGHTHVLEVFESNGKLFVNPGSATGAFSNISNDVIPSFVLMDVQSNNITVYIYKLIDGQVKVEKIDHVKQQ