P9WJ66 Anti-sigma-L factor RslA MolNFT, Molecular NFT on GenesisL1

Anti-sigma-L factor RslA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeighajhkbfuhkplyinvprajytlmmpwiq6hg7j5qtv6m7m3cxjm3xfu/metadata.json

IPFS of structure file:

bafybeigvjjhravw2txvjyntgvtt7b7kwlr3nygnx2longaizkpdnpvejsm/AF-P9WJ66-F1-model_v2.pdb

First NFT owner address (eip-55):

0x0c9a548C6Ddf03912482aE0Ef0a8883d6fbEC3A9

First NFT owner address (bech32):

genesis1pjd9frrdmupezfyz4c80p2yg84hmasafuqkt6a

Current NFT ID #411316 owner (web3):

0x71f33D0C4725C060040D5c661F10511Da7BDa307

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411316
Accession (UniProt):
P9WJ66
Name::
Anti-sigma-L factor RslA
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJ66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ66|RSLA_MYCTO Anti-sigma-L factor RslA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rslA PE=3 SV=1 MTMPLRGLGPPDDTGVREVSTGDDHHYAMWDAAYVLGALSAADRREFEAHLAGCPECRGAVTELCGVPALLSQLDRDEVAAISESAPTVVASGLSPELLPSLLAAVHRRRRRTRLITWVASSAAAAVLAIGVLVGVQGHSAAPQRAAVSALPMAQVGTQLLASTVSISGEPWGTFINLRCVCLAPPYASHDTLAMVVVGRDGSQTRLATWLAEPGHTATPAGSISTPVDQIAAVQVVAADTGQVLLQRSL

P9WJ66 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WJ66 research and analysis (ICN3D with VR)

FASTA sequences

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