B3EAF3 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigg4abi3t6pku27ornr273vvuv2qhq23bxv2bob2xt54guv7iwdji/metadata.json
IPFS of structure file: 
bafybeif4kh2imtjqynwjcmoqoomzcgrlmxkeyaeznvd4dybz6ajyefbopi/AF-B3EAF3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6dc74119484C5151aCc3EF094b7BB769Ff40c87f
First NFT owner address (bech32): 
genesis1dhr5zx2gf3g4rtxrauy5k7ahd8l5pjrl4ysygh
Current NFT ID #434203 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434203
Accession (UniProt):
B3EAF3
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Trichlorobacter lovleyi (strain ATCC BAA-1151 / DSM 17278 / SZ)

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 B3EAF3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3EAF3|SPEA_TRIL1 Biosynthetic arginine decarboxylase OS=Trichlorobacter lovleyi (strain ATCC BAA-1151 / DSM 17278 / SZ) OX=398767 GN=speA PE=3 SV=1 MERWSINESAKVYNLDNWGADLFSINKKGNICVHPSSNSKNAIDLRALVDDLIKRKIKPPILLRFMDVLQGRIASINRVFRNAIAENDYPAKYQTFYPIKVNQQRQVVEAIASYGKRYNIGLEVGSKPELVAGIAISTGNGLPIICNGYKDAEYIETVLFATRVGYNITIVVEKLFELEKIIELAKKTGIRPSLGIRVKLSSKGTGKWATSGGEDAKFGLRMSEIMAAIKMLQEADLLDCVNLLHSHIGSQVTKIDKIKTALIEAARIYSEMRKLGVNIQYLDIGGGLGVDYDGSKSSYFSSVNYTVEEYANDVIYQIKNICDEAGVDCPNIISESGRATVAHYSVLVTNVLNTNTQNLMPDYEQILEEMEKPAPTVKKLLDIYKSIDRYSLREDYHDTLQLINEAVSLFNLGYLTLQDRAIAEWLYSKIIKKINSIVEKIKPIPEELQNFQLALRQTYFANFSLFQSIPDSWAIDQLFPIMPLQRLGQRPDVMASIADITCDSDGEITSFVGENGRSKFLPMHKLKKDEDYYIGFFLIGAYQEILGDLHNLFGDTNAVHITFNKKTGYMIDTVINGDATWETLKYVQYKGPEILKHVRDNLEKQVAIKKVSIEESSHFIELLDRTLLGYTYLGE