C5JYZ5 Methionine aminopeptidase 2-2 MolNFT, Molecular NFT on GenesisL1

Methionine aminopeptidase 2-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeih2trrx3tdnlckd22mcsvmcj3rvgpadfxkzbxn7wbjlgosspcdaxq/metadata.json

IPFS of structure file:

bafybeif5zqpvlcnharzj6grdhg3u77qnbijhezmuvol4dh3mljebbzy2dq/AF-C5JYZ5-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6caDF58687FA86EEd5943cD410b8F963d69C56Dd

First NFT owner address (bech32):

genesis1djkltp58l2rwa4v58n2ppw8ev0tfc4kaf5jq7e

Current NFT ID #224421 owner (web3):

0x43c3Fe0a204231f7E4956aa82BbafBdc59917943

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
224421
Accession (UniProt):
C5JYZ5
Name::
Methionine aminopeptidase 2-2
Experimental Method:
Predicted structure
Sequence source:
BLASTOMYCES GILCHRISTII (STRAIN SLH14081)

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 C5JYZ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5JYZ5|MAP22_BLAGS Methionine aminopeptidase 2-2 OS=Blastomyces gilchristii (strain SLH14081) OX=559298 GN=BDBG_07768 PE=3 SV=2 MGSKTPNDHRRGPNVESSPHAAIDTINPPKHAAASGLLHGPLEGETEDGEDEDDDKTGADLKSVGQLNNSTKKKNKRKKNKKKKKTLLGGLQTTPPRVALSSIFYNQRYPEAEIVGYTTNNDNLQRITAEEFRHLCVVNDMDDEFLNDYRKAAEVHRQVRQYVQTITKPGIAMSQLAQEIEDGVRALTDHQGIETGDALKAGMAFPTGLCLNNIGAHWTPNPGAKEVILQYDDVLKVDFGVHVNGRIVDSAYTMAFNPVYDDLLTAVKAATNTGLKEAGIDARIDCISEAIQEVMESYEVELNRKIIPVKAVRNITGHNILRYKIHGDKQVPFVKTHTNQRMEEGDIFAIETFGSTGKAYLDDDIGIYGYFCDEHASAAGLHHSSAKSLLKTIKDNFGTLVFSRRYLERLGVKSYHLGMRSLVSKGIVQSYAPLVDVPGSYVAQFEHTVLLRPNCKEVISRGDDY

C5JYZ5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT C5JYZ5 research and analysis (ICN3D with VR)

FASTA sequences

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