Q7VMI1 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifrw7s5vuojjkghfq2ujv2sxeh6hsyahcimqb3ex3pv7vrve7pwoq/metadata.json
IPFS of structure file: 
bafybeibtazvfjkwkugfmhghsokmgdcpeuy5fpemix36dkefd6cfq73tp3y/AF-Q7VMI1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5C2d59949384A437838d040D722C4476f3Dc82E4
First NFT owner address (bech32): 
genesis1tsk4n9ynsjjr0qudqsxhytzywmeaeqhyqd79ug
Current NFT ID #318959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318959
Accession (UniProt):
Q7VMI1
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Haemophilus ducreyi (strain 35000HP / ATCC 700724)

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 Q7VMI1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VMI1|PTH_HAEDU Peptidyl-tRNA hydrolase OS=Haemophilus ducreyi (strain 35000HP / ATCC 700724) OX=233412 GN=pth PE=3 SV=2 MSQIKLIVGLANPGAKYEGTRHNAGEWLVNELARMYNTSLKDEAKYFGKTAKINTVNGDVWLLIPTTFMNLSGKAVGALAHFFRIKAEEILIAHDELDLPPGVAKLKQGGGHGGHNGLKDIISALGNNNNFYRIRLGIGHPGHKDQVAGYVLSKPAPQDQQKINAVIDEASRCLEILFKDGVTSATNRLNSFKA