Q5AZX0 AF NFT

Polyadenylation factor subunit 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyejyg2sxko72yduazvvgiy5xqrfi763z4nle5ixstd4zebs4lri/metadata.json
IPFS of structure file: 
bafybeic7aar2svetqw645wub4tumbmrd6v33kkhkzmchp4valucuayqbqy/AF-Q5AZX0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF167F240CA97308bc3AE59aa8ae16F47d2e92B55
First NFT owner address (bech32): 
genesis179nlysx2jucghsawtx4g4ct0glfwj264hz4yqw
Current NFT ID #295910 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295910
Accession (UniProt):
Q5AZX0
Name::
Polyadenylation factor subunit 2
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 Q5AZX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AZX0|PFS2_EMENI Polyadenylation factor subunit 2 OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=pfs2 PE=3 SV=1 MAYYDDGGNDSQPFGRAQGGIQGPRRPRLVTDYGSSMVQWMRNRRPKYQGGHRMETERPSASYMVDMLPPLARIHSPVDSIPVRHLHQSIGKSKKPITVVRWTPEGRRLLTGGHTGEFMLWNGTAFNFETVMDKGDVKYWRPNFNNVETIDDAHHDAVRDLAWSPSDTKFLSASDDTTLKIYDFTARTCDTVLTGHNWDVKSCDWHPTKGLLVSGSKDHQVKFWDPRTARCLTTLHSHKNTVTATKFSRVNNNLLATSSRDQTARVFDLRMMRDICILRGHEKPISTLTWHPVHCSLISTGSEDGSLYHYLLDEPNLPAGQIPTVAPYDSPDPANTPAQVIYPAHRIQYAHAATIWTLDWHPLGHILASGSKDNFTRFWSRARPGETSYLKDRFHIGEEAAEAQGTWSRNFGRRQMREEEEQELQDEADSLVDQRKTPGTGLPGIQSASQPDGLGSSLLPGIGAAQPPPPPGLSTSMAPPGNAFPPNPVFPAFPFAPPFSGAPPASGAQPMNSPNVNLAELQKQLAAQGITLPPGFPHHFTPVSTPLAGGGLPGLQGGYQPDNNYGR