A6VP06 AF NFT

Bifunctional protein HldE

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicn4e44hg44z74o3pfpq4w6itfvwcvflqov5ehfddxj57shdx4lgq/metadata.json

IPFS of structure file:

bafybeidohwlizry272e2i2hnjafpeapayio2yngroxyz4opehgoz63ksw4/AF-A6VP06-F1-model_v2.pdb

First NFT owner address (eip-55):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First NFT owner address (bech32):

genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn

Current NFT ID #174279 owner (web3):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
174279
Accession (UniProt):
A6VP06
Name::
Bifunctional protein HldE
Experimental Method:
Predicted structure
Sequence source:
Actinobacillus succinogenes (strain ATCC 55618 / DSM 22257 / CCUG 43843 / 130Z)

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 A6VP06 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6VP06|HLDE_ACTSZ Bifunctional protein HldE OS=Actinobacillus succinogenes (strain ATCC 55618 / DSM 22257 / CCUG 43843 / 130Z) OX=339671 GN=hldE PE=3 SV=1 MAQYSAQFPHAKVLVLGDVMLDRYWFGATNRISPEAPVPVVRVKKHEERAGGAANVAMNIASLNVPVRLLGLTGDDEAGNALTGLLEKQKICCDFVKLSSHPTITKLRILSRHQQLLRLDFEENFNNVHSDNLLTKLESAVKNVGALILSDYGKGTLNDVQHMIRIARQAKVPVLIDPKGTDFERYRGATLLTPNMSEFEAVAGVCQSDEDIVEKGLKMIADYDLTALLITRSEKGMTLLRPNQPAFHLPTEAKEVYDVTGAGDTVISVLATALADGRTVEEACYLANVAAGIVVGKLGTSAVSTVELENAIHGRTVSGFGIMTENELKNAVKLAKERGEKIVMTNGCFDILHPGHVSYLENARKLGDRLIVAVNTDESVKRLKGETRPINDLASRMAVLAGLSSVDWLVAFDEDTPQRLIGEILPDLLVKGGDYKPEEIAGSKEVWANGGDVSVLNFENGCSTSNVIKKIRDLKD

MOLNFT AF v1_w

NFT data

MOLNFT A6VP06 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience