P09801 AF NFT | MOLNFT bioinformatics, blockchain

Vicilin C72

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeig3wzh5fwzt3grgxdwffj5of7vu5bzgqrrs5rkwosbu3xcolkgqwi/metadata.json

IPFS of structure file:

bafybeihlaaufenfeobrwwzttoeujhlazlw72f7p6qw5zlimxen7dftwxea/AF-P09801-F1-model_v2.pdb

First NFT owner address (eip-55):

0x71112d4fF7ebb3b617963c05f052289e073082FD

First NFT owner address (bech32):

genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79

Current NFT ID #495892 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
495892
Accession (UniProt):
P09801
Name::
Vicilin C72
Experimental Method:
Predicted structure
Sequence source:
GOSSYPIUM HIRSUTUM

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 P09801 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P09801|VCLB_GOSHI Vicilin C72 OS=Gossypium hirsutum OX=3635 PE=2 SV=1 MVRNKSACVVLLFSLFLSFGLLCSAKDFPGRRGDDDPPKRYEDCRRRCEWDTRGQKEQQQCEESCKSQYGEKDQQQRHRPEDPQRRYEECQQECRQQEERQRPQCQQRCLKRFEQEQQQSQRQFQECQQHCHQQEQRPERKQQCVRECRERYQENPWRREREEEAEEEETEEGEQEQSHNPFHFHRRSFQSRFREEHGNFRVLQRFASRHPILRGINEFRLSILEANPNTFVLPHHCDAEKIYLVTNGRGTLTFLTHENKESYNVVPGVVVRVPAGSTVYLANQDNKEKLIIAVLHRPVNNPRQFEEFFPAGSQRPQSYLRAFSREILEPAFNTRSEQLDELFGGRQSHRRQQGQGMFRKASQEQIRALSQEATSPREKSGERFAFNLLYRTPRYSNQNGRFYEACPREFRQLSDINVTVSALQLNQGSIFVPHYNSKATFVVLVNEGNGYVEMVSPHLPRQSSFEEEEEQQQEQEQEEERRSGQYRKIRSQLSRGDIFVVPANFPVTFVASQNQNLRMTGFGLYNQNINPDHNQRIFVAGKINHVRQWDSQAKELAFGVSSRLVDEIFNNNPQESYFVSRQRQRASE