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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.
    Keywords: TP248.13-248.65 ; T1-995 ; systems biology ; join graph ; hierarchical support vector regression ; transcription factor ; brain storm optimization ; heterogeneous information network embedding ; structural patterns ; gene fusion data ; Panax ginseng ; flowering plant ; geometric arithmetic index ; interspecies transmission ; iron-depleted ; drug discovery ; protein ; protein targeting ; recursively enumerable function ; Mycoplasma hominis ; environmental factor ; Alzheimer’s disease ; absorption ; angiogenesis ; classification ; self-organizing systems ; enzymatic numerical P system ; excretion ; atom-bond connectivity index ; molecular learning ; DNA coding ; phylogeny ; bone formation ; DCL1 ; line graph ; pseudo dinucleotide composition ; load balancing ; K2 ; efflux ratio ; osteogenesis ; distribution ; NanoString Technologies ; RAST server ; 8-bit adder/subtractor ; gene networks ; dihydrouridine ; structure information ; Cartesian product graph ; domain label ; stacking denoising auto-encoder ; DNA computing ; Stenotrophomonas maltophilia ; pattern classification ; stress ; causal direction learning ; machine learning ; adverse drug reaction prediction ; membrane computing ; support vector machine ; Brassica napus ; miRNA biogenesis ; identification of Chinese herbal medicines ; bio-inspired ; toxicity ; protein transduction domain ; RNA ; sequence information ; multiple interaction networks ; in silico ; protein complex ; drug ; low-dimensional representation ; gene coding protein ; amino acid mutation ; Bayesian causal model ; edge detection ; big data ; function prediction ; parallel computing ; resolution free ; Hamming distance ; cascade ; oligopeptide transporter ; DNA barcoding technology ; DNA strand displacement ; protein–protein interaction (PPI) ; biomedical text mining ; bioinformatics ; metabolism ; hypoxia-inducible factor-1? ; nucleotide physicochemical property ; Turing universality ; diabetes mellitus ; chaotic map ; multinetwork integration ; bacterial computing ; lignification ; penalized matrix decomposition ; ensemble classifier ; bacteria and plasmid system ; similarity network ; RNA secondary structure ; avian influenza virus ; evaluating driver partner ; image encryption ; siderophores ; meta-path-based proximity ; P-glycoprotein ; Tianhe-2 ; prostate cancer ; iron acquisition systems ; biochip technology ; gene susceptibility prioritization ; laccase ; DNA ; molecular computing ; microRNA ; clustering ; drug-target interaction prediction ; endoplasmic reticulum ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
    Language: English
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