A1D3I2 AF NFT

Probable cytosolic iron-sulfur protein assembly protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibggmpgegnnu5huhxqaplqlcrs7devqe46g4fx2gzxpwsqxmqoaca/metadata.json
IPFS of structure file: 
bafybeid3y7arwpqeo2t6pv2p4y3mchq45wuifan2rihmqp7fitlbmejayu/AF-A1D3I2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x344C8b615Bc13a97A2b9952AFA3d117361e837DE
First NFT owner address (bech32): 
genesis1x3xgkc2mcyaf0g4ej54050g3wds7sd77wdeg66
Current NFT ID #63168 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63168
Accession (UniProt):
A1D3I2
Name::
Probable cytosolic iron-sulfur protein assembly protein 1
Experimental Method:
Predicted structure
Sequence source:
Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181)

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 A1D3I2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1D3I2|CIAO1_NEOFI Probable cytosolic iron-sulfur protein assembly protein 1 OS=Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181) OX=331117 GN=cia1 PE=3 SV=1 MAAESSSQLSLLSDLTPPSLERTWLSAPHPTLPIVATCSSDKTVRVYSLTNFRLLSTITGGHKRSVRTCAWKPHVKGESVLATGSFDATVGIWRRWDSYGQTERGIEDWHRADTHDHADDMTNGNGAAGIDNDGGDGADEDDEEWRFAVLLDGHDSEVKSVSWSPSGMLLATCSRDKSIWIWEDLDDGDNNFETVAVMQEHQGDVKCVAWHPVEECLASASYDDTIRLWREDLDDWGQVACIKGHQGTVWCVDWEGAENVPSAPTDLADGDLATAQWKKAHALSGPRLVSCSDDRTVRIWRRQPKEQQQHQAQPSPFGGSGIPSIIRPTGSDEFWDEECVLPQAHDLSIYTVAWSKRTGRLASVGADGRIVVYEERLVVGSTAETMETDPPTSADGTAADSPAALRTEWRVIATVDGAHGIYEINHVSWAKRADRGRTEGTDEEVLITTADDGTVKVWTLKM