A7HKQ7 AF NFT

UPF0173 metal-dependent hydrolase Fnod_0635

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4oddlxzaw4alpoa6beglxqyqepoqy7wpfmvvuetw6hmcc4hqpbq/metadata.json
IPFS of structure file: 
bafybeiesyjuptlxjvjxeyvelg7h4wlp65dyyvu4s4a5sylzvgsaso3hpwu/AF-A7HKQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #520385 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520385
Accession (UniProt):
A7HKQ7
Name::
UPF0173 metal-dependent hydrolase Fnod_0635
Experimental Method:
Predicted structure
Sequence source:
Fervidobacterium nodosum (strain ATCC 35602 / DSM 5306 / Rt17-B1)

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 A7HKQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7HKQ7|Y635_FERNB UPF0173 metal-dependent hydrolase Fnod_0635 OS=Fervidobacterium nodosum (strain ATCC 35602 / DSM 5306 / Rt17-B1) OX=381764 GN=Fnod_0635 PE=3 SV=1 MKLTFLGHAVLLISDIEGKYNVIIDPFITGNPAYPKDFQLPKIDYIMVTHGHGDHLGDTVELCKKYNSTVISNFEICNYLQLKGCKIHPMHVGGVYYFEFGKVKLTPAIHGSGIHEGDKVLYGGNPCGFLIKVEGKNIYHAGDTGLTKEFELLKDIDVAFLPIGGNFVMDVEDALVALEMIKPKIVVPIHYNTWDIIKADEQKFKEGAEKLGIKCVILKPGESLEI