Q28C41 AF NFT | MOLNFT bioinformatics, blockchain

Vezatin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiaaxzmmpcoijp2oahxlgjsdswunpcw7x5fuafkivytpezskmtz4my/metadata.json

IPFS of structure file:

bafybeihflo7klylg6yrzvcs7tuknwhfhaq3c24hh35pyhb54qbquzvciny/AF-Q28C41-F1-model_v2.pdb

First NFT owner address (eip-55):

0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD

First NFT owner address (bech32):

genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8

Current NFT ID #496175 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496175
Accession (UniProt):
Q28C41
Name::
Vezatin
Experimental Method:
Predicted structure
Sequence source:
XENOPUS TROPICALIS

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 Q28C41 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28C41|VEZA_XENTR Vezatin OS=Xenopus tropicalis OX=8364 GN=vezt PE=2 SV=1 MTAEFDEEVVFENSPLFQYLQDLGQTDFEICPLSKEEEHLAGNGHGEQDVHTTEKKSNISRTVEFLKSWSPLFSKKKRDEKICLLENGFRLESLRTILQQEVLIQEDVELIELLDPGILSAGQTQNQQNGHLPTLWSIATPNIWEMSVLFAFLSALAALQSWSISSSLVWGPSLILFAAFTVLRALHTWRSATLRMILRKYCNQVEGTVLNSRAFTNLVRKALRLIQETEVISRGFTLLLDRVSAACPYGKAGQHASQHLLGLRKAVYRTVRTNFRISRLATLYMLKHYPLNSEIDNVTNYICVVPLKDLGLGLCEEHVSEEEAHNLTDAFSLPALKVLFQLWIGQSSEFFRRLALLLSPENAAQGHLASPEQLPHLIWSDVVQDLPHTQAACLAELKRSYEFYRYFETQHQSGFERTAKRKKEVGELSNLHGAVRSLQLHLKALLNEVIILEDELEKLSSCKEMQAMTQEASLMLEEKLRIIQPHVQASNTCWEEALCQVGRMVRRPAAKKDIEKSSCENLNFPVVSNMPPALRIEDRDPVPEEQILEAYVEEAVTDQEFNSEDIYLFSPEERERQKREREESKRVLQELKAVLGLKASEAERQKWKQLLFSEHAVITPFLPEEPVGHFEPPDSVYPEDPCKNLGFYGEFTSEINGTEHAKDTPNQGDLQMNMNHEDEAKICPLSEEAEPESGKDENESPCPVPRTVLPPAIKERLARIHQTSDLNFTSGLAAQVAARSLTFTFLQEQTFGDEWDDDDDDNDNDDDNYDQVKNVESHEKERNNVSLQLEE