Q58428 AF NFT

Archaeosine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidx4efl3uk4oaj6qdwsccqnwpx2kvkdxd4hoitcre3kw72h4u5abi/metadata.json
IPFS of structure file: 
bafybeiauwzqeyuq3ywet3eybthhhru3xqn2vw6436qgbwxzil2hlsvrkzq/AF-Q58428-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #20370 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20370
Accession (UniProt):
Q58428
Name::
Archaeosine synthase
Experimental Method:
Predicted structure
Sequence source:
METHANOCALDOCOCCUS JANNASCHII (STRAIN ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440)

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 Q58428 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q58428|ARCS_METJA Archaeosine synthase OS=Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) OX=243232 GN=arcS PE=1 SV=1 MLEPIAYDIGRLCKEEDKELTPKLIDIDVIGLSQEKIFYGIMTPFRCPNSKSIYELRKSYVKADGIKMPFDTFRELTSIFKKSFIGTVKYKGNVFKYQILNFGKHVDLIELEDADLYIIADGRRLIERKELQIIPKIREKISPNSAIYSPAVFPWEIPLLAYIGVDYFDDSLAKLYASMGYKFTKNRAVKVDSFSFEELYNNNKKVYEEILEEVRIAIKNGFLRNVVEETAVSHPYLWANYRRYEPDLRNIPLSKENKIIVTTNINIPEVKKYLERLDNYEPYSNIIVLLPCSSKKPYSISQSHQKFIKAIKSAKVVVEEVILTSPYGLVPRALERLVNYDIPVTGEWSFEEIELINNCLKNFLKKVKEKFDDYIVIAHLPEHYLEILELDDIVITSKGNPTSEEALKNLTDTLKKYKELTKSKDINKKGQRIHNIQQLAEFQFGINFIPNEIFINHKGQIFTKINNKNQQIASINPKNGLLILTLSGGELLWNSGGKDINYIEVNYEIKKGSLFPPGFVDCNENISYNDEVVLIKDDTFLGIGRALMSGFEMKKAKHGALVNIRNVKS