Q1C0B2 Enoyl-[acyl-carrier-protein] reductase [NADH] MolNFT, Molecular NFT on GenesisL1

Enoyl-[acyl-carrier-protein] reductase [NADH]

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeif6yz5jjc2aqb4qihh55mrfoqmgkzrmzlww77p6dvjyykgo7g4mey/metadata.json

IPFS of structure file:

bafybeid7w7223lvagtkz5vpbh6lrev5ceafhnzoynyz34odnmfvxfxc7fy/AF-Q1C0B2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x38626D4F5Da20e9669eb407a7121a5dC98E1e189

First NFT owner address (bech32):

genesis18p3x6n6a5g8fv60tgpa8zgd9mjvwrcvfxd6dp2

Current NFT ID #125068 owner (web3):

0xcFf9BA0aF3DBABCc89e611059882CCFef4E731f4

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
125068
Accession (UniProt):
Q1C0B2
Name::
Enoyl-[acyl-carrier-protein] reductase [NADH]
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C0B2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C0B2|FABV_YERPA Enoyl-[acyl-carrier-protein] reductase [NADH] OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=fabV PE=3 SV=1 MIIKPRVRGFICVTAHPTGCEANVKKQIDYVTTEGPIANGPKRVLVIGASTGYGLAARITAAFGCGADTLGVFFERPGEEGKPGTSGWYNSAAFHKFAAQKGLYAKSINGDAFSDEIKQLTIDAIKQDLGQVDQVIYSLASPRRTHPKTGEVFNSALKPIGNAVNLRGLDTDKEVIKESVLQPATQSEIDSTVAVMGGEDWQMWIDALLDAGVLAEGAQTTAFTYLGEKITHDIYWNGSIGAAKKDLDQKVLAIRESLAAHGGGDARVSVLKAVVTQASSAIPMMPLYLSLLFKVMKEKGTHEGCIEQVYSLYKDSLCGDSPHMDQEGRLRADYKELDPEVQNQVQQLWDQVTNDNIYQLTDFVGYKSEFLNLFGFGIDGVDYDADVNPDVKIPNLIQG

Q1C0B2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q1C0B2 research and analysis (ICN3D with VR)

FASTA sequences

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