A3MV32 AF NFT

UPF0173 metal-dependent hydrolase Pcal_1074

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpfy7b6zc32wau5j3rppzxgd7fw5eemksetu2pw7x4xd5j7uyq74/metadata.json
IPFS of structure file: 
bafybeibje6dmgpbhwjwvqli7y2lrgkue2x42dfktsidq5ue5ucxcgwckbe/AF-A3MV32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE4dDdE4F6dA9c2bAf0CCF2Ea7ebF1b7DF4f1421e
First NFT owner address (bech32): 
genesis1unwaunmd48pt4uxv7t48a0cm0h60zss7hm8ww5
Current NFT ID #504126 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
504126
Accession (UniProt):
A3MV32
Name::
UPF0173 metal-dependent hydrolase Pcal_1074
Experimental Method:
Predicted structure
Sequence source:
Pyrobaculum calidifontis (strain DSM 21063 / JCM 11548 / VA1)

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 A3MV32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3MV32|Y1074_PYRCJ UPF0173 metal-dependent hydrolase Pcal_1074 OS=Pyrobaculum calidifontis (strain DSM 21063 / JCM 11548 / VA1) OX=410359 GN=Pcal_1074 PE=3 SV=1 MQIKWFGHSAFMVEAASLKLLIDPWVSNPLSPASPQEVAAAKPTHILITHDHFDHLGESVDIAKATGAPVVGTYELTLEVAEKGIPEAQTMPMNIGGTIKLGDGVEVYMTPALHTANRGAPSGFVIATPEGTVYHAGDTALFRDMELIGELYDIDVALLPIGSVFTMGPREAAIAVQLLRPRRVVPMHYNTFPLIRQDPEDFKARVEAVTRAKVYVMKPGDVLKL