A4TNJ2 AF NFT

Ecotin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmbujfhvvts6sohgc4ppqs342v6dabomrhnrf3ex3oerazgitpem/metadata.json
IPFS of structure file: 
bafybeichg7dazffuvr2n76te5myt55w5ufpskqj3z5sd5cpoliedooru3a/AF-A4TNJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x507b0cF5c2F663afF8A05761eBf4e0Bf457a72Fb
First NFT owner address (bech32): 
genesis12paseawz7e36l79q2as7ha8qhazh5uhmg7sy2m
Current NFT ID #110032 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
110032
Accession (UniProt):
A4TNJ2
Name::
Ecotin
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis (strain Pestoides F)

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 A4TNJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4TNJ2|ECOT_YERPP Ecotin OS=Yersinia pestis (strain Pestoides F) OX=386656 GN=eco PE=3 SV=1 MKKCSIILASVLLATSINAIADTPTPLNQQQPLEKIAPYPQAEKGMSRQVIFLEPQKDESRFKVELLIGKTLNVDCNRHMLGGNLETRTLSGWGFDYLVMDKISQPASTMMACPEDSKPQVKFVTANLGDAAMQRYNSRLPIVVYVPQGVEVKYRIWEAGEDIRSAQVK