C1ENC2 AF NFT

UPF0154 protein BCA_3779

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7goknphthljwu76d4fktwojuj6vlxztozeibzqaetmtajad4n4e/metadata.json
IPFS of structure file: 
bafybeihkwxt73ibb7tzot4hthx2hpprwssumccjypdlricfld5gxgmwige/AF-C1ENC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4A5C978525ad251797e983213Fa9aD0A9E376C59
First NFT owner address (bech32): 
genesis1ffwf0pf945j309lfsvsnl2ddp20rwmzeptfmyn
Current NFT ID #516260 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516260
Accession (UniProt):
C1ENC2
Name::
UPF0154 protein BCA_3779
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain 03BB102)

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 C1ENC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1ENC2|Y3779_BACC3 UPF0154 protein BCA_3779 OS=Bacillus cereus (strain 03BB102) OX=572264 GN=BCA_3779 PE=3 SV=1 MPIWLGILVGVVALVAGVALGFFIARKYMMNYLQKNPPINEQMLKMMMMQMGQKPSQKKINQMMSAMNKQQMK