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In a comparative evaluation of four deep learning methods (i.e., IgFold, DeepAb, ABlooper, and AlphaFold-Multimer [165–167]), IgFold achieved the highest average accuracy in predicting the CDR H3 loop, highlighting its strength for modeling this structurally diverse and challenging region
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Furthermore, some of the anti-nutritional components (like oxalate, phytate and glucosinolates) that are found in LPVs can be mitigated if the crops are produced well and processed appropriately before ingestion (Verma et al., 2018b, Verma et al., 2020, Verma et al., 2021b, Sarkar et al., 2022b)
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