/**
 * @description Fragment a molecule by applying reactions from a custom database of reactions
 * @param {import('openchemlib').Molecule} oclMolecule - The OCL molecule to be fragmented
 * @param {Object}  [options={}]
 * @param {('esi'|'ei')[]}  [options.ionizations=['esi']] - The ionization technique to be used
 * @param {('positive'|'negative')[]}  [options.modes=['positive']] - The ionization mode to be used
 * @param {number}  [options.maxDepth=5] - The maximum depth of the overall fragmentation tree
 * @param {number}  [options.limitReactions=200] - The maximum number of reactions to be applied to each branch
 * @param {string}  [options.dwar] - The dwar entry to be used, if not provided, the default one will be used
 * @param {number}  [options.maxIonizations=1] - The maximum depth of the ionization tree
 * @param {number}  [options.minIonizations=1] - The minimum depth of the ionization tree
 * @param {number}  [options.minReactions=0] - The minimum depth of the reaction tree
 * @param {number}  [options.maxReactions=3] - The maximum depth of the reaction tree
 * @returns {object} In-Silico fragmentation results with the following properties:
 * - masses: array of monoisotopic masses
 * - trees: array of fragmentation trees
 * - validNodes: nodes without dead branches
 */
export function reactionFragmentation(oclMolecule: import("openchemlib").Molecule, options?: {
    ionizations?: ("esi" | "ei")[] | undefined;
    modes?: ("positive" | "negative")[] | undefined;
    maxDepth?: number | undefined;
    limitReactions?: number | undefined;
    dwar?: string | undefined;
    maxIonizations?: number | undefined;
    minIonizations?: number | undefined;
    minReactions?: number | undefined;
    maxReactions?: number | undefined;
}): object;
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