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Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features

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Reactive oxygen species can modify the structure and function of proteins and may also act as important signaling molecules in various cellular processes. Cysteine thiol groups of proteins are particularly susceptible to oxidation. |

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Multi-regression prediction model for surface roughness and tool wear in turning novel aluminum alloy (LM6)/fly ash composite using response surface and central composite design methodology

FreeContact: Fast and free software for protein contact prediction from residue co-evolution

Cellular network traffic prediction using exponential smoothing methods

Hypergraph and protein function prediction with gene expression data

Performance analysis of stock market prediction techniques

Traffic flow prediction model based on neighbouring roads using neural network and multiple regression

Performance analysis of a real time adaptive prediction algorithm for traffic congestion

Rainfall-runoff prediction based on artificial neural network: A case study priyadarshini watershed
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