## 6 Pro et Contra Connected with Presently Employed in Silico Tools  
The computational applets, which were chosen for the majority of current computational analyses, that is, SwissADME [66], ADMETlab ver. 3.0 [67], ALOGPS/VCCLAB [95], Molinspiration Cheminformatics [97], Enalos Cloud Platform [132], and MolGPKa [156], provided some details on the required characteristics that play decisive roles from the viewpoint of drug-likeness and NP-likeness of (not only) antimicrobial highly active vinfierins and vinfierin-based compounds. The CLOGP 4.0 outputs were also suitably added to the considered evaluations using a commercially available ChemDraw ver. 22.2.0.3300 software, which was also employed to draw chemical structures of the analyzed compounds. In fact, accessibility (including availability of the respective software/applet, and the financial aspect related to the purchase of the specific software, or software packages), complexity, graphic organization, and clarity of the interactive interface, count, and types of the descriptors which could be generated, speed of the required calculations, relevance of the data obtained, eventual installation of additional software, hardware requirements, support of developers of the employed computational tools, security of the calculated data, and last but not least the validity of such generated parameters from the viewpoint of real biological and biochemical processes in vivo might be the main factors for selection of particular in silico tools. The reasons for which the computational platforms [66; 67; 95; 97; 132; 156] were chosen are briefly summarized in the following paragraphs. These web-based tools are currently fully accessible to students, academics, lecturers, researchers, or the broad non-academic community without the need for previous registration. These platforms have been frequently utilized, and the generated data have been generally accepted by the scientific community. The graphical interfaces of all of the applets were relatively intuitive, visually very acceptable, and user-friendly. In addition, brief information connected with the significance of particular descriptors was provided. Another advantage is that a rather simple generation of a relatively broad palette of relevant structural, physicochemical, PK, biochemical, PD, or toxicological characteristics could be achieved through these interactive tools. In that sense, the complexity, together with the user-friendly interface of SwissADME [66] or ADMETlab ver. 3.0 [67] might especially be mentioned. Most of the current calculations were 'only' based on the correct representation of the chemical structure of investigated compounds using an appropriate sketcher, which was already integrated within the respective applets. For example, the Marvin JS drawing tool was utilized for SwissADME [66], and the molecules' SMILES codes [68] were automatically generated via JChem Web Services [66]. The proper functioning of ALOGPS/VCCLAB [95], Molinspiration Cheminformatics [97], Enalos Cloud Platform [132], and MolGPKa [156] was connected with the simple installation of the Java SE Platform software (for example, Java SE ver. 24.0.2; Oracle Corp., Austin, TX, USA). In fact, no additional'specific' software was needed for the correct functioning of these applications. The given predictors also allowed for the effective analyses of numerous compounds, for example, promising pharmacologically active small molecules, drug candidates, or small-molecule drugs in real (relatively short) time. This factor might be regarded as highly favorable for researchers who are not primarily concerned with particular methods of computer-aided ligand-based or structure-based drug design and discovery [249; 250]. These approaches eventually require more robust and rather specific commercially available software packages, and the accessibility of high-performance computers, supercomputers, or cloud-based computing systems could be assumed.