Q4WWN2 AF NFT

Palmitoyltransferase erf2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietx4rw4vb6swkr4frsgbtcgtwmrxo3xlq52phfipergzntdipsy4/metadata.json
IPFS of structure file: 
bafybeibbskjn2gdeu7mppwabhosshjukkjmxj63dzwsvn2ciuvosgaiydq/AF-Q4WWN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #119697 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
119697
Accession (UniProt):
Q4WWN2
Name::
Palmitoyltransferase erf2
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WWN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WWN2|ERFB_ASPFU Palmitoyltransferase erf2 OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=erf2 PE=3 SV=1 MSSAPETSDADHVSTAQPALGIPRPPSVGGISSRMTDVASEDGEQSQANTGISSRPPQSQRSLSRRGPPPARSSITAHSQMTSRPGSSASRLSRSHIPSLTAQGFFRPMSSQRLQAHRGRPVTKETATPSEDWNDQLDQNRQSIISNGTFPQSSAPQEEAPPSRGTEFTDPIIPDRNTSNASPFGNTTSRSVGESAKLLHDRDRVYKITPQHLDLGANHNIEKSDPSQRSPLSFLSLQNGNTAPEPRDNRAHERLSSADSSPGSIQKQHHAPTSANLGKNYEYFTGNTLFFGGGRFQNSRDKPINIATGIFVVLPSALFFAYSAPWLWHHISPAVPILFAYLFYICFSSFIHASVVDPGIIPRNLHPMPPPEPSGDPLLIGPPTNDWVMVKLATSDVAAMDVPVKYCKTCNIWRPPRCYHCRVCDNCVETLDHHCVWLNNCVGRRNYRYFFAFVSSATLLALFLLGASLAHVLVYRAREGVSFGSAIDKWRVPWAMVIYGALAAPYPASLWAYHLFLIGRGETTREYLNSHKFAKADRHRPFTQGNIFRNWISVLARPRPPTYLQFKRPYQEGDQRLSAMKRKDRPRDVEAQADIEMQHVPPTPRQG