Robust, linear correlations between growth rates and β-lactam–mediated lysis rates

Anna J. Lee, Shangying Wang, Hannah R. Meredith, +3

Proceedings of the National Academy of Sciences

Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning

Kyle G. Daniels, Shangying Wang, Milos Simic, +6

Science

EngineeringMachine LearningGeneticsT-regulatory CellImmunology +26

Massive computational acceleration by using neural networks to emulate mechanism-based biological models

Shangying Wang, Kai Fan, Nan Luo, +5

Nature Communications

Intra- and interpopulation transposition of mobile genetic elements driven by antibiotic selection

Yi Yao, Rohan Maddamsetti, Andrea Weiss, +4

Nature Ecology & Evolution

Interpopulation TranspositionAntimicrobial Resistance GeneMobile Genetic ElementsMicrobial GeneticsMedicine +10

Modulation of microbial community dynamics by spatial partitioning

Feilun Wu, Yuanchi Ha, Andrea Weiss, +8

Nature Chemical Biology

Microbial DiversitySpatial PartitioningMicrobial EcologyEnvironmental MicrobiologyMicrobiology +2

Synthetic Pattern Formation

Nan Luo, Shangying Wang, Lingchong You

Biochemistry

EngineeringPattern TransferSynthetic CircuitComputer-aided DesignSynthetic Pattern Formation +18

Collective colony growth is optimized by branching pattern formation in <i>Pseudomonas aeruginosa</i>

Nan Luo, Shangying Wang, Jia Grace Lu, +2

Molecular Systems Biology

BiologyPattern FormationCollective Colony GrowthMedicineBacteriology +5

Quantifying negative feedback regulation by micro-RNAs

Shangying Wang, Sridhar Raghavachari

Physical Biology

Transcriptional RegulationSystems BiologyFunctional GenomicsFeedback RegulationNatural Sciences +12

ML-enhanced peroxisome capacity enables compartmentalization of multienzyme pathway

Jordan J. Baker, Jie Shi, Shangying Wang, +4

Nature Chemical Biology

Redox SignalingBiochemistryNatural SciencesMetabolic EngineeringCellular Biochemistry +2

Massive computational acceleration by using neural networks to emulate mechanism-based biological models

Shangying Wang, Kai Fan, Nan Luo, +5