From owner-chemistry@ccl.net Sun Jan 8 11:11:00 2023 From: "Grigoriy Zhurko reg_zhurko!=!chemcraftprog.com" To: CCL Subject: CCL:G: [EXTERNAL] CCL:G: Adding many explicit water molecules to the model Message-Id: <-54839-230108110943-28849-oZxhrTzQV+8BE9HOYcjBnw_+_server.ccl.net> X-Original-From: Grigoriy Zhurko Content-Type: multipart/mixed; boundary="----------06A15102800186D71" Date: Sun, 8 Jan 2023 14:15:31 +0300 MIME-Version: 1.0 Sent to CCL by: Grigoriy Zhurko [reg_zhurko_+_chemcraftprog.com] ------------06A15102800186D71 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit > I have looked at your figure and see things that don't look right. Your picture can't be rotated, so I can't see how far some of the bonds are apart. When you made this drawing did you go back to Chemcraft and try an optimization? On the picture there is an already optimized geometry. > Also I would try to use just a few waters and see how they respond. Try just three of four waters and perform an optimization. Then one at a time put in more waters, with each new water try an optimization. I don't think this is a good idea because it will consume CPU time. Firstly I added 14 waters at once, with big distances between them, and after the geometry optimization, they became closer. For next compounds, I copied some water molecules from the previous compound, keeping their positions relative to -COOH fragment. You can look at the attached picture, which illustrates how Chemcraft copies fragments from one site to another. Then other water molecules were added again with random coordinates and big distances between them, and these distance became shorter after the geometry optimization. Grigoriy Zhurko https://chemcraftprog.com ------------06A15102800186D71 Content-Type: image/png; name="chemcraftstructmerger_waters.png" Content-transfer-encoding: base64 Content-Disposition: attachment; filename="chemcraftstructmerger_waters.png" iVBORw0KGgoAAAANSUhEUgAAAv4AAATuCAIAAAA6AbBPAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7J0FeBRHG4DD7kW5JHih UArUnb+Cu9NSrKRAqVGDQgtVoFCKW4EWd3eCQ4S4u7u76yXn/v3f7G6uAeolxOZ95ln21u4u 7O2++803M2ZAoVAoFAqF0mqg6kOhUCgUCqUVQdWHQqFQKBRKK4KqD4VCoVAolFYEVR8KhUKh UCitCKo+FAqFQqFQWhFUfSgUCoVCobQiqPpQKBQKhUJpRVD1oVAoFAqF0oqg6kOhUCgUCqUV 0YLUx2gUZigUCoVCoVD+gGauPnl5cO4c/PQTfP45fPQRmeL8qVOQlERNiEKhUCgUyr00W/Up K4PNm2H2bHj/fZg7Fz79FObNI+qzYAEp8+fD+vWQkSFsTKFQKBQKhcLRPNUnMhLmzIFZs+C9 90iwB70HpeeLL2DxYvj6a1JwBl+iA7m4CLtQKBQKhUKhNEf1MYaHw/Tp8Pbb8O67JN7z2WdE cRYtgm+/heXLSYXXqlWwYgV89x1ZiEp086awJ4VCoVAolFZPM1MfQ3Gxbto0wPLOOyTeM38+ LFwoeA/qzpYtsH8/HDsGe/fChg2wdCl8+SXZJjZW2J9CoVAoFErrppmpj3z5csPrr4ODA3z8 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