P9WJ27 AF NFT

Putative antitoxin VapB37

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyvwspxjilkisj3ou63iwdlquxp3aphxdrx5co23777fw72gv2mi/metadata.json
IPFS of structure file: 
bafybeibhjfk5ytii3oholurjijqwqbkquspaibcsmcvxdostc23qc24cpy/AF-P9WJ27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3585a7211e5A6fD4E35fc8EBAe71C7dC52c7d56b
First NFT owner address (bech32): 
genesis1xkz6wgg7tfhafc6ler46uuw8m3fv04ttlsys30
Current NFT ID #497667 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497667
Accession (UniProt):
P9WJ27
Name::
Putative antitoxin VapB37
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJ27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ27|VPB37_MYCTU Putative antitoxin VapB37 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=vapB37 PE=4 SV=1 MRTTVTLDDDVEQLVRRRMAERQVSFKKALNDAIRDGASGRPAPSHFSTRTADLGVPAVNLDRALQLAADLEDEELVRRQRRGS