The atom-bond connectivity index (ABC index) is a topological index in chemical graph theory that combines information from both vertices (atoms) and edges (bonds) in a molecular graph. It was introduced by Ernesto Estrada, Luis Torres, Lissette Rodriguez, and Ivan Gutman in 1998. [1]
The ABC index differs fundamentally from the connectivity index in that it does not primarily measure molecular branching. [1] This makes it particularly useful for modeling properties that are weakly dependent on branching, such as enthalpy of formation.
For a graph , the ABC index is defined as: [1]
where is the edge set of graph , and and denote the degrees of vertices and .
For connected graphs with vertices, edges, and maximum degree , upper bounds for the ABC index have been established. [2]
For general connected graphs with vertices, edges, and maximum degree :
with equality if and only if the graph is bipartite with all edges connecting vertices of degree 1 or 2 to vertices of degree . [2]
Das, Gutman, and Furtula (2012) established an improved upper bound: [3]
where:
Equality holds if and only if is regular, -semiregular, or bipartite semiregular. [3]
For graphs without pendent vertices:
with equality if and only if is regular or bipartite semiregular. [3]
For molecular graphs (connected graphs with maximum degree at most 4):
If the graph has maximum degree 3, then:
If the graph has maximum degree 4, then:
For simple connected graphs with edges and maximal vertex degree : [3]
where equality is attained if and only if (the path graph).
For a simple connected graph of order with connected complement , Das et al. (2012) established a lower bound: [3]
where , with and being the maximal and minimal vertex degrees of . Equality holds if and only if .
For the upper bound: [3]
where and are the numbers of pendent vertices in and respectively, and . Equality holds if and only if or is an -regular graph of order .
Among trees with vertices, the star graph has the maximum ABC index, equal to . [4] [5]
Among trees with vertices and pendent vertices (where ), the tree with maximum ABC index is obtained from the path graph by attaching pendent vertices to an end-vertex, with ABC index: [5]
For chemical trees (trees with maximum degree at most 4) of order , the maximum ABC index depends on , with different optimal structures for each residue class. [5]
The problem of finding trees with minimum ABC index (ABC-minimal trees) has been one of the most studied problems in chemical graph theory. Among all graphs of order , the graphs attaining the minimum ABC index must be trees. The complete characterization of ABC-minimal trees involves complex structural properties including constraints on vertex degrees and branch configurations. [5]
Among unicyclic graphs with vertices, the graph with maximum ABC index is obtained by adding an edge to the star graph , with ABC index: [2] [5]
Among bicyclic graphs with vertices, the maximum ABC index is achieved by the graph obtained from the star by adding two adjacent edges, with value: [2] [5]
Among all graphs of a given order , the complete graph attains the maximum ABC index, which equals . [5]
The ABC index has been successfully applied in QSPR studies for predicting standard heats of formation of alkanes [1] [6] and energy differences between linear and branched alkanes.
For alkanes, the relationship between the standard heat of formation () and the ABC index follows:
This model achieved a correlation coefficient of for a training set of 48 alkanes. [1] A 2012 re-examination confirmed that this simple empirical formula reproduces heats of formation with accuracy comparable to high-level ab initio and DFT quantum chemical calculations (MP2, B3LYP). [6]
The ABC index was also found to explain the stability of branched alkanes, as shown by Estrada in 2008, [7] and provides a good model for the strain energy of cycloalkanes. [5]
More recently, the ABC index and its variants have been applied in QSAR studies for analyzing potential COVID-19 therapeutics. Chaluvaraju and Shaikh (2022) used multiple versions of the ABC index to analyze the molecular structures of drugs including favipiravir, ribavirin, remdesivir, theaflavin, chloroquine, and hydroxychloroquine, correlating these indices with calculated IC50 and EC50 values. [5] [8]
Several variants of the ABC index have been proposed to explore different structural aspects of molecular graphs or to improve predictive capabilities.
The atom-bond sum-connectivity (ABS) index was introduced by Ali, Furtula, Redžepović, and Gutman in 2022. [9] It is defined as:
The ABS index combines the structural ideas of the ABC index with those of the sum-connectivity index, using the sum of vertex degrees in the denominator rather than their product. [9] [10]
Despite the algebraic similarity, the mathematical properties of the ABS and ABC indices differ significantly. For example, characterizing trees with minimum ABC index required years of research, whereas the corresponding problem for the ABS index is straightforward; the path graph uniquely attains the minimum ABS index among all trees of a given order. [11]
The general ABS index extends the ABS index by introducing an exponent parameter : [12]
When , this reduces to the standard ABS index.
The exponential ABC index was introduced by Rada in 2019 as part of a broader framework of exponential vertex-degree-based topological indices designed to enhance discriminative power. [13] It is defined as:
Among trees of order , the star graph maximizes the exponential ABC index. [13]
The Graovac-Ghorbani index (also denoted ) is a distance-based variant introduced by Graovac and Ghorbani in 2010. [14] It is defined as:
where denotes the number of vertices closer to vertex than to vertex , and is defined analogously. Unlike the original ABC index which uses vertex degrees, this variant incorporates distance-based vertex counts. For complete bipartite graphs, . [14]