Q6GP62 AF NFT

Vacuolar protein sorting-associated protein 29

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5a7nmwykq6rwl6vjxazpbatop2326zghez2yfnfja4646fxgkh4/metadata.json
IPFS of structure file: 
bafybeif6bmqfscqonoftfqpau6c2cqefxxn6txrg5ulgluj4xuh4ciq6ri/AF-Q6GP62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #497981 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497981
Accession (UniProt):
Q6GP62
Name::
Vacuolar protein sorting-associated protein 29
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6GP62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6GP62|VPS29_XENLA Vacuolar protein sorting-associated protein 29 OS=Xenopus laevis OX=8355 GN=vps29 PE=2 SV=1 MLVLVLGDLHIPHRCNSLPAKFKKLLVPGKIQHILCTGNLCTKESFDYLKTLAGDVHIVRGDFDENLNYPEQKVVTVGQFKIGLIHGHQVIPWGDMASLALLQRQLDVDILISGHTQKFEAFEHENKFYINPGSATGAYNALENNIIPSFVLMDIQASTVVTYVYQLIGDDVKVERIEYKKS