B1KND9 AF NFT | MOLNFT bioinformatics, blockchain

Putative hydro-lyase Swoo_1731

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeic5jew3z3exfpomzksmbzntesxsd5qptqek7ovdswlw3b5h2t6hde/metadata.json

IPFS of structure file:

bafybeicwmnstt65lpe4f445gb2n2qkgzd22tvyg3lrf5b64adexg2lfdby/AF-B1KND9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x30FCf9cEE32bBC405ddE1AD7716F6606140F6706

First NFT owner address (bech32):

genesis1xr70nnhr9w7yqhw7rtthzmmxqc2q7ecxjhfx8h

Current NFT ID #508992 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508992
Accession (UniProt):
B1KND9
Name::
Putative hydro-lyase Swoo_1731
Experimental Method:
Predicted structure
Sequence source:
Shewanella woodyi (strain ATCC 51908 / MS32)

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 B1KND9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1KND9|Y1731_SHEWM Putative hydro-lyase Swoo_1731 OS=Shewanella woodyi (strain ATCC 51908 / MS32) OX=392500 GN=Swoo_1731 PE=3 SV=1 MQKPVNNNFKESLLRTVESLRKSIRSGEMDDSTSGLVPGLVQANIVILPKIWAHDFLLFCQKNPIACPLIDVFDAGQFLLNSLGKDIDVRTDIPEYCVFVGGVKTEVKKDISDLWQDDFVVFALGCSFSFEYALQQAGLSIANLESNSNVSMYETNVPTKSVGVFQGNVVVSMRPFTPAQAIKAIQITSQFPLAHGAPIHIGKPEMIGINSLSNPSFGDSVEINEDHIPVFWGCGVTPQVVISNAKIPMFITHAPGKMLITDKLYSELR