A1CFK9 AF NFT

Carboxylesterase patB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdngfaesngol57svyx3btwtsp2tdq6jggityqgiijzb27jslgq5a/metadata.json
IPFS of structure file: 
bafybeic56v3t3bcy3jwhu7zncpmrypcf2zhj676dpyez57dquifmrcqnky/AF-A1CFK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c1c449ec7B9135D02DaB674994E53C7934610b5
First NFT owner address (bech32): 
genesis13swyf8k8hyf46qk6ke6fjnjnc7f5vy94m9h9gf
Current NFT ID #288630 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288630
Accession (UniProt):
A1CFK9
Name::
Carboxylesterase patB
Experimental Method:
Predicted structure
Sequence source:
Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107)

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 A1CFK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1CFK9|PATB_ASPCL Carboxylesterase patB OS=Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107) OX=344612 GN=patB PE=1 SV=1 MLFTASLLLLLPWASAAPANLPIVDLGYQRHQAISFNSTGQYYSFTNIRYAEPPLGSRRFAPPVAPHGRSKNIVNGTGLGYKCPQALACWFNVQNKFTSAAAAGTPFDFNAAYEEVYTKDACTEPAKQDPLQSEDCLFLDVYVPQDVWQKGPQAAHQKGGAPVLVYLQDGAYVGGSKSDQNPAGLIARSREEGSSGMIYVGINYRLGVFGWLSGRKFTSSGGKPNAGLLDQRLALEWIQRHIHLFGGDPSRVTVMGVSAGGGSIIMQMTAYGRGISPPFAQVITQSPAWEPGTKTPAIEDDLFDTFLASLNVTSLDQARRLPSHALTDANYRLVASRPYGAGVLGPAIDGDFIPDSPKRLLLQGKANPGVRVLTSYTAAEGFGIAPANITDEASFQRYVGLMLAGTDASVRTHAATVLYPAVFDGSMPYRTQHDRASLLWADLAASCNTRYLHAAVRTPGYAIEYSVPPALHLSDTPSVFYNGPVADPTVNGTIAELLQRQIVRFVKTGNPNGEPDPEVPVYDGRDLLDLGDDGVLVRPDSTDNARCEYWQKVHF