Q6TMK4 AF NFT | MOLNFT bioinformatics, blockchain

Peroxinectin A

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib32w2pbkhhvplrigevjdy7vjhnfalruhrevlitptsop55az3tbbi/metadata.json

IPFS of structure file:

bafybeiercryfyjd4bzgl47wnkvg5mdxki6jh2wzojpngzdz2oknqqni4zi/AF-Q6TMK4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7F0F83db3b9ec3a86cc0eDAaF6DE0950a3Ce107D

First NFT owner address (bech32):

genesis10u8c8kemnmp6smxqak40dhsf2z3uuyravu5k5y

Current NFT ID #305512 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
305512
Accession (UniProt):
Q6TMK4
Name::
Peroxinectin A
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 Q6TMK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6TMK4|POXA_DICDI Peroxinectin A OS=Dictyostelium discoideum OX=44689 GN=poxA PE=1 SV=1 MRLNLISFFIIFTILVSISNSQEFRSYTGEGNNKQNPKQGSIFTPFIRLANPIKFNKNGFPNITNQPSRAISNIIFDQQTHIGSKEHLTDMFNMWGQFLIHNMALSKPEPNSWPIKVPKCDQYFDPACIGNKTMNYFRTRATEVPCDVGKTVVDEDGKCYEQINSLGSYIDGNVLYGNSEEICKNLRSLSGGEMKMTVTDVGDLPPKNVPGVPMDNDANLFPIDQLYSVGERRGNENPGLLSIHTLLLRDHNRLARKFARLHPEWDDERVFQQSRSCIIEQIQKITYDEYLPTTLGSFPSYTGYDANVNAQVSNEFTTTAFRFGHSEVGPFMEYYSENGTRLQPLPIKFSYFNPHALNRGVEPLIRGLIINEEENIDIYMISDLRNFLFGKPGQGGLDLASRNLQRNRDHGIPPYNSLRRQLGLRPVQTWSDITSDPQIQNRLKNAYKSVDDIDSYVGGLAEDHMEGSCVGQTFYLIIYEQFFRTRAGDRFWYETPEMRMVNRECETTTFAEVIKRTTSNIGYVQPNVFRK