B1HR35 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibzi7upkbuwvnu52yuuek2x5ok75hrvpkhte63bkpusq2i7u4najy/metadata.json
IPFS of structure file: 
bafybeifoam5o4cmvmab3auxwuwrf6noatjovszo73552dxxt5z3g44heqe/AF-B1HR35-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x319B1eD445AeE5afd4553C8a0cC7A993708454bC
First NFT owner address (bech32): 
genesis1xxd3a4z94mj6l4z48j9qe3afjdcgg49u33qurx
Current NFT ID #63562 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63562
Accession (UniProt):
B1HR35
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Lysinibacillus sphaericus (strain C3-41)

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 B1HR35 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1HR35|CINA_LYSSC Putative competence-damage inducible protein OS=Lysinibacillus sphaericus (strain C3-41) OX=444177 GN=cinA PE=3 SV=1 MNAEILAVGSELLLGQITNTNARFISNQLSELGINVFYHTVVGDNAKRLEQAIEVAESRADLIIFSGGLGPTKDDLTKETIARHLGVSLEFDEVALTYIEQFFAKRGRPMTENNRKQALILAGSEILANHHGMAPGMIFNNNNHTYILLPGPPKELEPMFQFEAKPKLAAMLNDGGIIASHVMRFYGIGEAELEVQVQDILDAQTNPTVAPLASDGEVTLRVTAKAETEQQAQQLIAAKVAEIQALVGDYQYGMDDDSLASKTVEMLLDNHLTISAAESLTAGLFQSELAEIPGVGDALIGGVVTYAAEAKVKHLGISQELIDTHGVVSGECAAAMASAVRKQFGTNIGIGLTGEAGPTAHDHQPVGTVWIGIAINDEEPLTYLLHLSGMRNTNRLRAVKFTCHYLMQLLEERGYTKRY