B4NKT1 AF NFT

MAU2 chromatid cohesion factor homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2u5zijbj6pwez7dfgonqkyrvd23lausigkyky6w6vl35ugpkmn4/metadata.json
IPFS of structure file: 
bafybeib6nh6kip7cmzxwzzwa7ox2ogphzjuv76kcsprkirazpyimcvpfzm/AF-B4NKT1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb1D0f67d3BC2C805BBB719Afc6DA02f0d03Dea70
First NFT owner address (bech32): 
genesis1k8g0vlfmctyqtwahrxhudksz7rgrm6ns354jux
Current NFT ID #421230 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421230
Accession (UniProt):
B4NKT1
Name::
MAU2 chromatid cohesion factor homolog
Experimental Method:
Predicted structure
Sequence source:
Drosophila willistoni

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 B4NKT1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4NKT1|SCC4_DROWI MAU2 chromatid cohesion factor homolog OS=Drosophila willistoni OX=7260 GN=GK13302 PE=3 SV=2 MSGPSSANPAASQDACYISLLGLAEYFRTSQPPNIKKCIQCLQALFTFTPPSKVEARTHLQMGQILMAYTRNIDMARQHLEKAWNISESLMNFDDVKFDTASLLAQLHLQTEPSSNAAKAMLRRAVELSQNNVYWHCKLLLQLSQIHASDREYSSASELLAVGADSAEEAGATYLKVLFLLSRAMILMIERKTNDVLALLNSAGQIIDNNIPNPHQKEYLKVFFLVLQVCYYLALGQVKTVKPSLKQLQMSIQTIMAPNWPSDDTIFGSNQLEMFVWLPKEQLYVLVYLVTVSHSMMAGYMDKAQKYTEKALTQIEKLKLQEDKPILSVFKVILLEHIVMCRMVMGNRELAIREIAAARDVCLAAPQRRSLLKRHSAQLHCLIGLYAMSTSFFDHAERQFLVCVSETTERDLKLFANLNLAIIYLRTKRETDLKQILDAVSTENTHTYSSQALMGGFYYVQGLHAFHKNSFHEAKRFLRETLKMANAEDLNRLTSCSLVLLSHVFLSIGNSKESMNMVTPAMQLASKIPDIHVQLWGSAILKDLHRMSKDAQHEKEAYANHVKYSENLIADQRKCVQSSHHELVNWFHGDPPITTGAPLTLPVIPEAINNPVTPLTPSSAAVAATAGAAASTTPMTQTNVAVASTSALQPPVGAVAGQFGQFY