
    Given the molecular weights of two medications, determine if they have matching interaction potential by comparing the sum of their binding site values, where binding sites are represented by the divisors of each medication's molecular weight. This assessment helps identify medications that may exhibit similar interaction patterns despite having different molecular structures.
    

    
import math

def div_sum(n):
    total = 1
    i = 2
    while i * i <= n:
        if n % i == 0:
            total = total + i + math.floor(n / i)
        i += 1
    return total

def are_equivalent(num1, num2):
    """
    Given the molecular weights of two medications, determine if they have matching interaction potential by comparing the sum of their binding site values, where binding sites are represented by the divisors of each medication's molecular weight. This assessment helps identify medications that may exhibit similar interaction patterns despite having different molecular structures.
    

    """
import math

def div_sum(n):
    total = 1
    i = 2
    while i * i <= n:
        if n % i == 0:
            total = total + i + math.floor(n / i)
        i += 1
    return total

def are_equivalent(num1, num2):
    """
    Given the molecular weights of two medications, determine if they have matching interaction potential by comparing the sum of their binding site values, where binding sites are represented by the divisors of each medication's molecular weight. This assessment helps identify medications that may exhibit similar interaction patterns despite having different molecular structures.
    

    """
    return div_sum(num1) == div_sum(num2)